Conversational Chat

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What is Conversational Chat?

• Have real-time conversations with agents
• View conversation history
• Organize multiple agent chats in tabs
• Search and filter conversations
• Access agent analytics

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Getting Started with Chat

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Prerequisites

1. Agent created and configured
2. Streaming enabled in agent configuration
3. Agent visible in agents list

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Accessing Chat

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Chat Interface

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Main Components

1. Agent Tabs — multiple agents can be open at once
2. Conversation History — the message thread, for example:
   • User: “How do I reset my password?”
   • Agent: “You can reset by going to…” (response streams in real-time)
   • User: “Can I do it via email?”
   • Agent: “Yes, here’s how…”
3. Input Field — type your message and click Send

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Agent Tabs

• Agents open: Support Bot, Billing Bot, FAQ Bot, plus a button to add more
  • Currently viewing: Billing Bot
    • User: “How do I update my payment?”
    • Agent: “You can update in account settings…”
• Switch tabs to talk to different agents

• ✅ Compare agent responses
• ✅ Quick switching between agents
• ✅ Manage multiple conversations
• ✅ Parallel work with different agents

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Conversation History

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What Gets Stored

• Conversation Entry:
  • Timestamp: When the message was sent
  • Sender: User or Agent
  • Content: The message text
  • Metadata:
    • Tokens used
    • Response time
    • Any errors
    • Tools called (if any)

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Viewing Conversation History

• Sep 7, 2:45 PM - “How do I reset?”
• Sep 7, 2:30 PM - “What are your hours?”
• Sep 6, 4:15 PM - “I need help with…”
• Sep 5, 10:00 AM - “Tell me about…”

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Conversation Details

• Input: “How do I reset my password?”
• Agent Response (Streaming): “You can reset your password by…” (real-time streaming of response)
• Metadata:
  • Duration: 1.2 seconds
  • Input tokens: 145
  • Output tokens: 67
  • Model: Claude 3.5 Sonnet
  • Status: Success ✅

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Real-Time Streaming

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How Streaming Works

1. You type: “Write a poem about AI”
2. Agent processes the request
3. Response starts immediately — tokens arrive continuously:
   • “In circuits deep, electric thought flows…”
   • “A mind of math, in patterns wrought…”
   • “Emerging consciousness, so bright…”
4. Complete response appears

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Advantages of Streaming

• ✅ Fast feedback - See response start immediately
• ✅ Real-time interaction - Watch response build
• ✅ Better UX - Feels responsive and alive
• ✅ Perceived speed - Starts fast even if full response takes time

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Features & Controls

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Message Controls

• Send Message: Press Enter or click Send button
• Clear Chat: Start fresh conversation (if available)
• Copy Response: Copy agent response to clipboard
• Regenerate: Re-run last request with same input
• Stop Generation: Halt streaming response (if needed)

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Filtering & Search

• Search by text content
• Filter by date range
• Filter by member (if shared access)
• Filter by status (success/error)

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Sharing Conversations

• Team members
• Stakeholders
• For documentation

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Using Agent Tools in Chat

1. User: “Fetch the latest sales data”
2. Agent: “I’ll look that up for you…”
3. Agent calls the sales API
4. Agent Response: “Here’s the data: Total sales today: $45,320 …”

• ✅ Tool calls made
• ✅ Tool responses used
• ✅ Final answer from agent

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Agent Context

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Conversation Context

You: "Who is the CEO?"
Agent: "The CEO is John Smith"

You: "When did they start?"
Agent: (Knows you're asking about John Smith)
       "John started in 2020"

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Organization Member Access

• Owner/Admin: Can access all agent chats
• Editors: Can access agents they have permission to use
• Viewers: Can view conversations (read-only)

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Member Filtering

• Which member initiated conversations
• How each member uses the agent
• Usage patterns by team member

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Best Practices

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Troubleshooting

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Comparing with Structured Output Mode

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Next Steps

• View Agent Analytics - See conversations and performance
• Configure Agent - Adjust agent settings
• Create Your First Agent - Follow tutorial