How Users run an Agent

  1. Navigate to the Agent Page

    • Go to the Agent listings
    • Select your desired Agent
  2. Click “Run” Button

    • Located at the top of the Agent details page
    • Initiates the Agent execution process
  3. Follow On-Screen Instructions

    • Read carefully through each step
    • Input required parameters when prompted
    • Verify entered information before proceeding

Expectations from Creators

Required Documentation

  • Agent-specific documentation should include comprehensive details that enable users to effectively implement and utilize the agent
  • Clear input/output specifications detailing all possible parameters and their effects
  • Detailed step-by-step execution instructions for various use cases and scenarios
  • In-depth explanation of the underlying agent architecture and workflow patterns
  • Comprehensive list of supported LLM models with their specific configuration requirements
  • Detailed integration instructions for various platforms (Slack, Gmail, etc.) with example implementations
  • Specify compatible models and versions. Include LLM configuration being used and performance characteristics
  • Add complete details on Integrations (Slack, GoogleSheet etc.) used in the agent. Clearly mention the usage & scope of their API usage.

Input/Output Guidelines

  • Input Parameters should be thoroughly documented:
    • Clear distinction between required parameters that must be provided and optional ones that enhance functionality
    • Detailed specifications of parameter formats, including data types, ranges, and validation rules
    • Real-world examples demonstrating input usage in common business scenarios
  • Expected Outputs need clear documentation:
    • Detailed specifications of output formats including all possible response structures
    • Multiple sample responses covering both successful and error scenarios
    • Comprehensive error handling strategies and fallback mechanisms for edge cases

Best Practices

  • Detailed usage recommendations based on real-world implementations
  • Common pitfalls and their solutions, backed by practical examples
  • Comprehensive troubleshooting guide with diagnostic procedures and resolution steps

AfterMath