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AI Configuration

Configure your bot's AI capabilities, behavior, and response patterns

Overview

AI configuration determines how your bot understands and responds to user queries. Proper configuration ensures accurate, relevant, and helpful responses.

Intelligence

Language model settings and capabilities

Conversation

Dialog management and context

Safety

Content filtering and restrictions

Language Model Settings

Model Selection

  • GPT-4: Best for complex tasks and reasoning
  • GPT-3.5: Balanced performance and cost
  • Custom Models: Industry-specific solutions

Parameters

  • Temperature: Response creativity (0.0 - 1.0)
  • Max Tokens: Response length limit
  • Top P: Response diversity control

Conversation Management

Context Settings

  • Memory duration configuration
  • Context window size
  • Session management

Response Control

  • Response time limits
  • Fallback configurations
  • Error handling

Safety and Moderation

Content Filtering

  • Profanity filtering
  • Sensitive content detection
  • Language restrictions
  • Topic boundaries

Security Measures

  • Rate limiting
  • Input validation
  • Output sanitization
  • Access controls

Best Practices

Recommended Settings

  • Start with conservative temperature (0.7)
  • Enable content filtering
  • Set reasonable token limits
  • Configure fallback responses

Common Pitfalls

  • Setting temperature too high
  • Ignoring content safety
  • Insufficient error handling
  • Overlooking context management

Testing and Validation

Before deploying your configured bot:

  1. 1
    Test with various input types and scenarios
  2. 2
    Verify response quality and relevance
  3. 3
    Check safety filter effectiveness
  4. 4
    Monitor performance metrics
  5. 5
    Gather user feedback