Configuration Reference Resolver Connector for AI agents.

It uses a depth-first traversal to walk through every level of your configuration object, finding and replacing placeholders no matter how deep they are hidden in the hierarchy.

Yes. You can use it to check if your variable syntax is correct or to detect if your settings have created an infinite loop that would crash your agent.

It supports both the ${KEY} and {{KEY}} styles, making it compatible with most common templating patterns used in configuration files.

Absolutely. It is designed to take raw configuration objects and transform them into fully populated versions based on the context you provide.

You can use the built-in circularity detection to scan your dependencies and identify any infinite loops before you deploy your configuration.

The resolve_configuration capability takes a raw configuration object and a context dictionary, then replaces all valid placeholders with their corresponding values from the context.

The engine uses detect_circularity to inspect the dependency graph. If a loop is detected during traversal, the engine stops that branch and records the circular path to prevent infinite loops.

The engine supports two syntax patterns: ${KEY} and {{KEY}}. You can use validate_reference_syntax to check if a specific string follows these rules.

It resolves placeholder references within configuration files using a deterministic lookup process, ensuring all dependencies are correctly mapped and validated.

The server uses graph-based traversal to detect loops. If a circular dependency is found, validate_reference_integrity will report it as a circular reference error.

Yes, you can use the get_resolution_path capability to retrieve a detailed audit trail showing every substitution step for a specific key.