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# Agent Left Navigation Structure

The new left-side navigation panel provides an intuitive and centralized user interface for accessing all core configuration, testing, and detail management sections of the Agent.

# 1. Navigation Components

  • Easy Navigation: The reorganized left-side panel ensures easy and fast access to the three primary operations required for building and managing the agent.
  • Primary Sections: As highlighted in the interface, the navigation pane comprises three distinct, self-contained views:
    • Prompt
    • Benchmark
    • Agent Details

# 2. Prompt Configuration Workspace

The Prompt section serves as the main configuration hub where the agent's core conversational and operational logic is defined. This includes:

  • Agent Configuration: Defining the agent’s core behavior through the System Prompt and contextual instructions (Perspective).
  • Variable Definition: Specification of both Input (I/P) and Output (O/P) variables for dynamic data handling.
    • Knowledge and Tools: Integration of knowledge bases (Knowledge Garden) and external tools.
    • Testing and Debugging: A dedicated environment for real-time query testing and debugging the agent's current configuration.
    • Examples: Provision for setting up conversational examples to guide agent behavior.

# 3. Benchmark Testing

The Benchmark section is dedicated to the quantitative performance evaluation of the agent. This workspace is utilized for:

  • Performance Metrics: Running standardized tests to measure the agent's accuracy, latency, and effectiveness against defined performance criteria.
  • Continuous Improvement: Facilitating comparison between different agent configurations and providing data for iterative enhancements.

# 4. Agent Details (Agent Profile)

The Agent Details section, also referred to as the Agent Profile, contains all metadata and administrative settings related to the agent's identity and deployment:

  • Basic Information: Configuration of the agent's Name and Description.
  • Model Details: Specification of the underlying Large Language Model used by the agent.
  • Input/Output Fields: Review the provided input and output variables.
  • Visibility and Tags: Managing advanced settings such as access visibility (Private/Public) and applying organizational tags.