Agent Creation
Build and configure AI agents tailored to your specific needs
The Agent Creation section is where you design and configure new AI agents tailored to your specific needs. This section guides you through the process of defining an agent’s capabilities, behavior, and integration points.
Creation Process
Basic Information
Define the fundamental aspects of your agent
Configuration
Set up the operational parameters
Tools Selection
Enhance your agent’s capabilities
Advanced Settings
Fine-tune your agent’s behavior
Basic Information
In this first step, you define the fundamental aspects of your agent:
- Name: Choose a unique identifier for your agent
- Description: Provide a detailed explanation of the agent’s purpose
- Purpose: Define the primary functions and goals
- Category: Classify your agent for organization
- Tags: Add keywords to improve discoverability
- Icon: Select a visual representation
Configuration
The Configuration step allows you to set up the operational parameters that determine how your agent functions:
- Choose the underlying AI model
- Select model version
- Configure model-specific settings
- Choose the underlying AI model
- Select model version
- Configure model-specific settings
- Set temperature for creativity
- Configure max tokens for responses
- Define response formats
- Set up system messages
- Configure rate limiting
- Set usage thresholds
- Define cost controls
- Set up usage notifications
Tools Selection
Enhance your agent’s capabilities by connecting it with specialized tools:
Data Tools
Access and manipulate data
API Connectors
Connect to external services
Processing Tools
Transform and analyze information
Visualization Tools
Create visual representations
Communication Tools
Interact with users and systems
Custom Tools
Build specialized capabilities
For each tool, you can:
- Configure tool-specific settings
- Set permissions and access controls
- Define input/output mappings
- Set up error handling
Advanced Settings
Fine-tune your agent’s behavior with specialized configurations:
- Fallback Responses: Define what happens when the agent can’t provide a direct answer
- Error Handling: Configure how errors are managed and reported
- Conversation Memory: Set up how the agent remembers past interactions
- Context Window: Configure how much conversation history to include
- Specialized Behaviors: Define custom behaviors for specific scenarios
- Integration Settings: Configure how the agent works with other systems
Agent Templates
Xenovia provides templates to accelerate the creation process:
Customer Support
Pre-configured for handling customer inquiries
Data Analyst
Specialized in data processing and analysis
Content Creator
Optimized for generating various content types
Research Assistant
Configured for information gathering and synthesis
Testing During Creation
Xenovia allows you to test your agent at any point during the creation process:
Quick Test
Try sample interactions to verify basic functionality
Tool Testing
Verify that selected tools work as expected
Scenario Testing
Test against predefined scenarios
Performance Check
Evaluate response times and resource usage