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NeatConfig allows you to configure your NEAT session with specific data modeling modes and validation rules. It provides pre-defined governance profiles that combine validation settings with data modeling behavior, or you can define custom profiles via a TOML configuration file. Review the available data modeling modes and validation rules before configuring your NEAT session.

Class reference

cognite.neat.NeatConfig — Bases: ConfigModel NeatSession configuration.

Methods

__str__()

Returns a human-readable configuration summary.

create_predefined(profile='legacy-additive')

Create NeatConfig from internal profiles.
  • legacy-additive — Additive modeling with legacy validation rules
  • legacy-rebuild — Rebuild modeling with legacy validation rules
  • deep-additive — Additive modeling with deep validation rules
  • deep-rebuild — Rebuild modeling with deep validation rules

Example

Custom configuration via TOML file

You can define custom profiles in a TOML configuration file. Place the configuration file in your project root (e.g., pyproject.toml or neat.toml).

Basic TOML structure

Custom profile example

Define your own profiles with specific validation rules.

Validation exclusion patterns

The exclude list supports wildcard patterns.
  • NEAT-DMS-AI-READINESS-* — Excludes all AI-readiness validation rules
  • NEAT-DMS-CONNECTIONS-002 — Excludes a specific validation rule
  • * — Excludes all validation rules (use with caution)

Loading custom configuration

cognite.neat.get_neat_config_from_file(config_file_name, profile) — Get NeatConfig from file or internal profiles. Returns: NeatConfig instance.
You cannot override the pre-defined profiles (legacy-additive, legacy-rebuild, deep-additive, deep-rebuild) in TOML files. Use custom profile names for your configurations.

Further reading

Last modified on February 27, 2026