Creating AI Agents

Using AIGNE's YAML configuration approach, you can quickly create powerful AI agents. Through simple configuration files, you can define AI behavior, input/output formats, and skills.

Basic Structure#

Configuration Options#

• name: Unique identifier for the agent
• description: Brief description of the agent's functionality and purpose
• instructions: Detailed instructions guiding the agent's behavior (using YAML's multi-line text format)
• input_schema: [Optional] JSON Schema definition for input parameters
• • type: Input data type (top level must be object)
  • properties: Detailed definition of input parameters
  • required: List of parameters that must be provided
• output_schema: [Optional] JSON Schema definition for output results (only use when structured data output is needed)
• • type: Output data type (top level must be object)
  • properties: Detailed definition of output results
  • required: List of parameters that must be returned
• output_key: [Optional] Key name for output text (defaults to $message, only effective when there's no output_schema)
• skills: [Optional] List of tools the agent can use (JavaScript files implementing specific functions)
• memory: [Optional] Enable the agent's conversation memory feature. Can be:
• • Boolean value (true to enable, false to disable)
  • Object containing configuration options:
  • • subscribe_topic: Array of memory topics the agent should subscribe to

Through the above configuration, you can create feature-rich AIGNE agents. Main capabilities include:

• Create AI assistants with different behavior patterns
• Equip AI with various skills and tools
• Enable conversation memory and learning capabilities
• Integrate with other systems and resources

Recommendation: Start with a simple chatbot and gradually add more features to expand AI agent capabilities.