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Documentation Index

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Message history controls how much conversation context is included when your bot calls the AI integration. This directly affects the bot’s ability to maintain coherent, contextual conversations.

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Overview

Message history (also called context window) is the number of recent messages sent to your AI backend with each request: 
{
  "messages": [
    {"role": "user", "content": "What's the weather?"},
    {"role": "assistant", "content": "I'll check for you."},
    {"role": "user", "content": "Thanks"}
  ]
}
The AI receives this history to understand context and generate relevant responses.

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Context Window Size

Choose how many messages to include:

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Small (5 messages)

Best for:
  • Simple Q&A bots
  • Transactional interactions
Pros:
  • Faster processing
  • Less API overhead
Cons:
  • Limited context
  • May forget earlier conversation

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Medium (10 messages - default)

Best for:
  • General-purpose bots
  • Customer support
  • Balanced applications
Pros:
  • Good context retention
  • Handles most conversations well
Cons:
  • May lose very early context

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Large (20+ messages)

Best for:
  • Complex conversations
  • Technical support
  • Detailed interactions
Pros:
  • Excellent context retention
  • Coherent long conversations
  • Better understanding
Cons:
  • Slower processing

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Configuration

1

Go to Bot Settings

Navigate to your bot’s settings page.
2

Find Context Settings

Look for Message History or Context Window setting.
3

Set Message Count

Enter the number of messages (e.g., 10).
4

Save Changes

Click Save to apply the new setting.
Changes apply to new messages immediately. Existing conversations keep their current context.

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How It Works

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Message Retrieval

When a user sends a message:
  1. Identify Conversation: Use message detection to find conversation
  2. Fetch History: Retrieve last N messages from database
  3. Format Messages: Convert to AI backend format
  4. Send Request: Include history in integration request
  5. Generate Response: AI uses full context
  6. Save Response: Add bot response to history

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Message Format

Messages are formatted as an array: 
[
  {"role": "user", "content": "First message"},
  {"role": "assistant", "content": "Bot response"},
  {"role": "user", "content": "Follow up"},
  {"role": "assistant", "content": "Another response"},
  {"role": "user", "content": "Latest message"}
]
This follows OpenAI/Anthropic standards for easy integration.

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Message Pruning

When conversations exceed context window:

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Sliding Window

Oldest messages are dropped: 
Context window: 5 messages
Messages: [1, 2, 3, 4, 5, 6, 7]
Sent to AI: [3, 4, 5, 6, 7]
Messages 1 and 2 are not included but remain in database.

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System Messages

System messages (if configured) are always included: 
Messages sent:
1. System: "You are a helpful assistant"
2-6. Last 5 conversation messages
System message doesn’t count toward context window.

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Best Practices

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Start Small, Increase if Needed

Begin with default (10 messages):
  • Check if context is lost
  • Increase if bot seems forgetful

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Consider Use Case

Support Bots: Medium to large (10-20)
  • Need full problem context
  • Multiple back-and-forth exchanges
FAQ Bots: Small (5)
  • Simple questions and answers
  • No long conversations
Sales Bots: Medium (10-15)
  • Build relationship over conversation
  • Remember user preferences

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Troubleshooting

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Bot Forgets Earlier Context

Symptoms:
  • Repeats questions
  • Loses conversation thread
  • Contradicts earlier responses
Solutions:
  • Increase context window
  • Check message detection is working
  • Verify conversation grouping is correct

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Next Steps

Should Respond

Configure when bot responds

View Conversations

See conversation history