Skip to main content

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.

​
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.
Agent Chat Interface

​
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
Deleted chats cannot be recovered. All messages and history will be permanently removed.

​
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