agent-docs-creator
The agent analyzes AI source code to generate structured, clear, and complete documentation in a consistent template, supporting multiple languages.
Example requests
beeai run agent-docs-creator "function exampleAgent() { /* AI agent source code here */ }"
Description
The agent is designed to create structured documentation for AI agents by processing their source code. It aims to provide a comprehensive overview by extracting critical details and formatting them into a predefined documentation template. This ensures that the documentation is clear, complete, and consistent across different AI agents.
How It Works
The agent uses a chat model to analyze the input source code. It constructs a structured document consisting of a short description and a detailed markdown-formatted full description. The short description provides a high-level summary, while the full description includes sections like "How It Works," "Input Parameters," "Output Structure," "Key Features," "Use Cases," and "Example Usage." The agent's output is generated by simulating a conversation between system and user messages to refine the output to meet the documentation standards.
Input Parameters
The agent requires the following input parameter:
- text (string) – String that represents the source code of the AI agent to be documented.
Output Structure
The agent returns an object with the following structure:
- text (string) – The structured documentation generated in markdown format, including both the short and full description sections.
Key Features
- Automated Documentation Generation – Transforms AI agent source code into structured documentation.
- Consistent Template – Uses a predefined template to ensure uniformity across different documentations.
- Multi-Language Support – Capable of processing AI agents written in various programming languages.
- Interactive Clarification – Includes logic to request additional details if the source code lacks sufficient information.
Use Cases
- AI Agent Cataloging – Streamlines the creation of documentation for AI agents to be included in catalogs or repositories.
- Source Code Analysis – Provides insights into the functionality and features of AI agents by examining their source code.
- Technical Documentation Enhancement – Enhances the quality and clarity of technical documentation for AI solutions.