agent-configuration

You can configure AI agent specifications by defining models, system prompts, skills, and tools within structured YAML files in a designated workspace. This approach provides a standardized way to manage agent properties and capabilities.

Agent inheritance is a pattern for creating hierarchical AI agent structures by passing configurations from base agents to specialized ones. You need it to build scalable, maintainable teams of specialized AI agents without duplicating common settings.

To set up a specialized AI agent, define a base agent with common abilities, then create a new YAML specification that inherits from the base and adds unique skills, tools, and system prompts for the specific role.

Yes, you can assign specific capabilities and tools to individual AI agents during the configuration process. This allows each agent to execute its designated tasks within the Paracle Framework execution environment.

Yes, the Paracle Framework is required to execute the configured AI agents. While YAML is used to define the agent structures, the framework provides the runtime environment needed to process the specifications.

Managing agent configuration through YAML files requires manual editing of specification structures within a `.parac/` workspace. This approach focuses on defining static agent properties and inheritance patterns rather than dynamic runtime reconfiguration.