KQL Formatter

The KQL Formatter processes a KQL query to produce a clean, consistent representation that is easier to read and review. It operates conceptually by tokenizing the input, validating syntactic structure, and applying formatting rules that preserve semantics while improving layout. This yields standardized indentation, wrap behavior for long pipelines, and alignment of subsequent lines under pipe operators. The formatter distinguishes between core query clauses (from 'datatable' to 'summarize', 'project', 'where', etc.) and user-defined expressions, ensuring that function calls and nested expressions retain their original meaning. Beneficiaries include data engineers, data scientists, and analytics teams who share queries in notebooks, repositories, or dashboards. Unique value comes from preserving comments and string literals while reflowing whitespace, supporting batch formatting of multiple queries, and offering adjustable line-length constraints to match repository or code-review standards. Use cases include preparing queries for code reviews, standardizing formatting across a project, and making complex pipelines more approachable during debugging and knowledge transfer. Core features include: configurable max line length, style presets, and non-semantic reflow of tokens. The tool does not execute or optimize queries; it only rewrites whitespace and layout to improve readability, enabling teams to maintain consistent coding practices across KQL projects.