parrot-tool-scaffold

To scaffold a new ai-parrot tool class, run the scaffold_tool.py script with your desired ToolName. This automatically generates a skeleton file in the parrot/tools directory, ensuring inheritance from AbstractTool and maintaining project consistency.

The standard ai-parrot tool structure requires inheriting from AbstractTool within the parrot.tools module. The generated skeleton includes a Pydantic args_schema for argument validation, providing a consistent foundation ready for extending with business logic.

Yes, you can use Pydantic to define arguments when generating an ai-parrot tool skeleton. The scaffolding process automatically creates an args_schema using Pydantic, ensuring your tool's arguments are properly validated and typed before you add custom logic.

The best way to ensure consistency across ai-parrot tool implementations is to use a scaffolding script. It generates boilerplate code that enforces standard inheritance from AbstractTool and the correct parrot/tools directory structure for every new tool.

No, the ai-parrot tool scaffolding does not require external dependencies to generate boilerplate code. It operates as a standalone script within your Python project, directly creating the tool file structure and Pydantic schema without additional package requirements.