config_fields

relationalai.config

Common configuration sections for Config.

Most projects configure PyRel using a YAML file (typically raiconfig.yaml). This module defines the Pydantic models that validate the nested sections in that file (for example execution, data, and debug).

You can also configure everything in code by passing dictionaries to the create_config factory function (useful for programmatic setup or for overrides in tests).

For reasoner (engine) configuration, see relationalai.config.config_reasoners_fields.

Classes

Classes exposed by this module.

ExecutionConfig Configure execution middleware behavior.

DataConfig Configure data loading, streaming, and export behavior.

CompilerConfig Configure compiler behavior for query translation.

ModelConfig Configure model execution defaults.

DebugConfig Configure debug server and error-reporting behavior.

JobsConfig Configure job execution behavior.

Referenced By

RelationalAI Documentation
└──  Build With RelationalAI
    └──  Understand how PyRel works > Configure PyRel
        └──  Configure execution behavior