Behavior Settings

Configure how your AI agent behaves and responds to users

Agent Behavior Configuration

The Behavior tab allows you to customize how your AI agent interacts with users, including conversation prompts, initial messages, and suggested responses.

Agent Prompt Configuration

System Instructions

• Agent Prompt: Define the core instructions that guide your agent’s behavior
• Use the prompt template system or write custom instructions
• Example: “Use the following pieces of context to answer the question at the end.”

Knowledge Integration

• Agents can access and utilize knowledge bases during conversations
• Configure how the agent should reference and apply knowledge
• Set up context-aware responses based on available information

Initial Conversation Setup

Welcome Messages

• Initial Agent Messages: Set the first message users see when starting a conversation
• Default example: ”👋 Hi, how can I help you?”
• Customize to match your agent’s personality and purpose

Suggested Prompts

Configure suggested questions that appear to guide users:

• “Give me a summary of this knowledge base”
• “Can you provide an overview of the main topics covered here?”
• “What categories or sections does this knowledge base cover?”

Message Flow Options

Interactive Elements

• Show initial messages as tooltip: Display welcome messages in a non-intrusive way
• Remove ‘Powered by Aivah’: Clean up the interface for branded experiences
• Hide microphone: Disable voice input if not needed

User Experience Settings

• Configure message display preferences
• Set up conversation flow patterns
• Customize interaction styles based on your use case

Agent Identity

Naming and Branding

• Agent Name: Set a custom name for your agent (e.g., “Product Presenter”)
• Companion Name: Define the companion identity
• Avatar Selection: Choose from available avatars or upload custom ones

Voice and Personality

• Companion Voice: Select Gemini voices (Sportsman, Customer support, Sarah, etc.) or OpenAI Realtime voices (Alloy, Echo, Shimmer, Ash, Ballad, Coral, Sage, Verse, Cedar, Marin) based on the active model
• LLM Model: Choose the underlying model family (OpenAI GPT 4.1/5 series, Gemini 2.5 series, OpenAI Realtime, or Groq-hosted models)
• Configure personality traits through prompt engineering

Best Practices

1. Clear Instructions: Write specific, actionable prompts
2. User-Friendly Welcome: Create welcoming initial messages
3. Helpful Suggestions: Provide relevant suggested prompts
4. Consistent Identity: Maintain consistent naming and voice
5. Purpose-Driven: Align behavior with intended use case

The behavior configuration directly impacts user experience and agent effectiveness.