> ## Documentation Index
> Fetch the complete documentation index at: https://docs.datazone.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Chat Interface

> Interact with your agents through conversational AI

# Chatting with Agents

The chat interface is where you **interact with your agents**. Ask questions, get insights, and explore your data through **natural language conversations**.

<Frame>
  <img src="https://mintcdn.com/datazone/-RitKVuJcAfZzcZR/images/light/agent/agent-answer-layout.png?fit=max&auto=format&n=-RitKVuJcAfZzcZR&q=85&s=528d8afaab7f9b5d5c8d658c57e3b09a" alt="Agent Chat Interface" width="1942" height="1548" data-path="images/light/agent/agent-answer-layout.png" />
</Frame>

## Starting a Conversation

1. In home page, find your agent in **Agents** section
2. Select an agent from your list
3. Click **New Chat** to start a fresh conversation
4. Type your question and press **Enter**

## Chat Features

### Real-Time Streaming

Responses **stream in real-time** as the agent thinks and processes:

* See the agent's **thought process**
* Watch **tool executions** happen
* Get answers **progressively**

### Tool Indicators

**Visual indicators** show when the agent uses tools:

* **🔧 Using Tool** - Agent is **executing a query** or running code
* **💭 Analyzing** - Agent is **processing information**
* **✓ Completed** - Tool execution **finished**

These indicators help you understand **what the agent is doing** behind the scenes.

### Follow-Up Questions

After each response, the agent **automatically suggests** relevant follow-up questions:

```
💡 Suggested follow-ups:
  • What is the revenue trend for the top customer?
  • How do these customers compare to last quarter?
  • Which products do these customers buy most?
```

Click any suggestion to **automatically ask** that question.

### Conversation History

Each chat maintains **full conversation history**:

* Return to **previous conversations** anytime
* Agent **remembers context** from earlier messages
* **Build on previous analysis**

### Token Usage & Cost

Each response shows:

* **Token count** (input + output)
* **Estimated cost**
* **Model used**

Monitor usage to **manage costs effectively**.

## Asking Effective Questions

### Be Specific

**Good:** "What were sales in California last month?"
**Vague:** "Tell me about sales"

### Context Helps

**Good:** "Show revenue by product category for Q4 2025"
**Unclear:** "Show revenue"

### Build on Context

```
You: "What were our top 5 products last month?"
Agent: [Provides list]

You: "Now show their profit margins"
Agent: [Analyzes same products from previous context]
```

### Ask for Visuals

```
"Show me..." → Agent generates charts
"Create a chart of..." → Visual response
"Compare..." → Comparison visualization
```

## Response Types

### Text Answers

**Simple, direct responses** to straightforward questions.

### Data Tables

**Structured data** presented in table format with:

* Column headers
* **Formatted numbers**
* Sortable results

### Visualizations

**Charts and graphs** embedded directly in responses:

* **Line charts** for trends
* **Bar charts** for comparisons
* **Pie charts** for distributions

### Multi-Part Answers

**Complex questions** get comprehensive responses:

1. **Initial analysis**
2. **Data query results**
3. **Visualization**
4. **Summary and insights**

## Managing Chats

### Chat List

View **all your conversations**:

* **Recent chats** appear first
* See chat **titles and timestamps**
* Preview **last message**

### Automatic Chat Titles

Chat titles **auto-generate** from your first question. The agent creates a **concise, descriptive title** automatically.

### Deleting Chats

Remove conversations you no longer need:

1. Open the chat
2. Click **delete option**
3. Confirm deletion

<Warning>
  Deleted chats **cannot be recovered**. All messages and history will be **permanently removed**.
</Warning>

## Tips

* **Start broad, then narrow** - Begin with overview questions, then dive into specifics
* **Use follow-up suggestions** - Click suggested questions to explore deeper
* **Reference previous results** - Agent remembers context, build on earlier answers
* **Monitor token usage** - Check costs per response to manage budget

## Next Steps

* [Optimize Agent Performance](/reference/agents/best-practices)
* [Set Up Model Accounts](/reference/development/model-accounts)