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Chat Interface
The chat interface is your primary way of interacting with AI agents in GT AI OS.
- Managing Conversations - History, search, and organization
- Using Datasets in Chat - Add documents to conversations
- Go to Agents in the sidebar (opens Favorite Agents view)
- Click any agent card to start a conversation immediately
- To browse all agents, click the toggle in the top right to switch to Agent Configuration view
Agents are organized by category to help you find what you need. Use the category and tag filters on the Agents page to narrow down your search.
Common category examples:
- General Purpose - Research, writing, brainstorming
- Technical - Code review, debugging, architecture
- Domain Expert - Specialized knowledge areas
- Creative - Content creation, copywriting
To use a different agent:
- Click the Bot icon (to the left of the message input box)
- This takes you to the Agents page
- Select a new agent to begin a fresh conversation
Note: Switching agents exits your current conversation. You can resume it later from the conversation history.
To start a fresh conversation with the same agent:
- Click New Chat in the top-right corner of the header
The currently selected agent name is displayed in the header at the top of the chat interface. This helps you confirm which agent you're chatting with.
Agents can access your documents in two ways:
Datasets can be attached to an agent permanently in the agent's configuration. These datasets are available in all conversations with that agent.
You can also add datasets to a specific conversation:
- Click the Paperclip icon (to the left of the message input)
- Either upload new files or select existing datasets
- The agent can search selected datasets for relevant information
See Using Datasets in Chat for details.
Some agents have Easy Buttons - quick-access prompts that appear as clickable buttons in the chat interface. Click any Easy Button to send that prompt instantly.
Easy Buttons are configured by the agent creator. See Creating Agents for details on setting them up.
Agents respond with formatted text including:
- Headers and text styling
- Bulleted and numbered lists
- Code blocks with syntax highlighting
- Tables for structured data
Code responses include syntax highlighting and a copy button:
def greet(name):
return f"Hello, {name}!"You can download chat messages for reference or sharing. Hover over any agent message to see the Download button.
Response Only (default)
- Downloads only the current agent message
- Optional: Check "Include Last User Prompt" to include your question
Entire Conversation
- Toggle to "Conversation" mode in the dropdown
- Downloads all messages in the conversation
| Format | Best For |
|---|---|
| TXT | Plain text, basic sharing |
| MD | Preserves markdown formatting |
| DOCX | Editable Word documents |
| CSV | Tables and spreadsheet data |
If a response contains tables and you select CSV format:
- If multiple tables exist, choose which table(s) to download
- Select "All Tables" to combine them in one file
If an agent response is problematic, you can report it for review.
- Hover over the agent message with the issue
- Click the Report Chat Issue button (flag icon)
- Select the type of issue:
- Harmful or biased content
- Hallucinations observed
- Error message
- Other (requires explanation)
- Add comments if needed
- Click Download Report
A report file downloads to your device containing:
- The issue type and your comments
- The conversation context (your prompt and the agent's response)
- Agent configuration details
- Instructions for sending to support
Note: The report downloads locally - email it to the support address shown in the file.
- Be specific: Clear, detailed questions get better answers
- Provide context: Share relevant background information
- One topic at a time: Focus on a single task per conversation
- Follow up: Ask clarifying questions if needed
Choose agents based on what you need help with:
- Need code help? Look for technical agents
- Writing assistance? Try general or creative agents
- Domain questions? Find domain expert agents
| Instead of... | Try... |
|---|---|
| "Help me with this code" | "Can you help me debug this Python function that's returning None instead of the expected list?" |
| "Write a report" | "Help me write a quarterly sales report summarizing Q3 performance, focusing on enterprise growth" |
| Shortcut | Action |
|---|---|
| Enter | Send message |
| Shift + Enter | New line (don't send) |
- Check your internet connection
- Verify you're logged in
- Try refreshing the page
- Complex questions may take more time
- Check the loading indicator
- Wait for the response to complete before sending follow-ups
- The agent may be temporarily offline
- You may not have permission to access that agent
- Contact your Tenant Admin if you need access
If an agent responds unexpectedly:
- Verify you selected the right agent
- Check which datasets are attached
- Try rephrasing your question