neurocore.config.schema.NeuroCoreConfig¶

class neurocore.config.schema.NeuroCoreConfig(/, **data: Any)¶

Bases: pydantic.BaseModel

Top-level NeuroCore configuration model.

Represents the full contents of neurocore.yaml plus any overrides from .env and environment variables.

project¶: Project metadata (name, version).

paths¶: Directory paths for skills, blueprints, data, logs.

logging¶: Logging level, format, optional file output.

llm¶: Project-level LLM configuration.

skills¶: Per-skill configuration dicts, keyed by skill name.

project_root¶: Resolved absolute path to the project root (the directory containing neurocore.yaml). Set by the ConfigLoader, not from YAML.

project: ProjectConfig = None¶

paths: PathsConfig = None¶

logging: LoggingConfig = None¶

llm: LLMConfig = None¶

skills: dict[str, dict[str, Any]] = None¶

project_root: pathlib.Path = None¶

resolve_path(relative_path: str) → pathlib.Path¶

Resolve a path relative to project_root.

Absolute paths are returned as-is. Relative paths are resolved against self.project_root.

Parameters:: relative_path – A path string from the config.
Returns:: Resolved absolute Path.

property skills_dir: pathlib.Path¶: Resolved absolute path to the skills directory.

property blueprints_dir: pathlib.Path¶: Resolved absolute path to the blueprints directory.

property data_dir: pathlib.Path¶: Resolved absolute path to the data directory.

property logs_dir: pathlib.Path¶: Resolved absolute path to the logs directory.

get_skill_config(skill_name: str) → dict[str, Any]¶

Get configuration for a specific skill.

Returns skill config merged with project-level LLM config as defaults. Skill-level config wins over project-level LLM config.

Parameters:: skill_name – The skill’s registered name.
Returns:: Config dict for the skill, or empty dict if not configured.