How to Run XML ValidatorBuddy: Desktop, CLI/CI, Web API, or AI Agents

XML ValidatorBuddy offers four ways to run XML validation: the Windows desktop app for editing and diagnosing files, the ValBuddy CLI for automated and CI checks, a Web API for focused operations, and AI agent workflows built on the same ValBuddy tools. The right choice depends on whether you need to inspect results interactively, automate repeatable checks, or give an agent deterministic validation steps. All paths share the same validation-first approach: validate against XSD, DTD, or Schematron, see the failure in context, fix it, and run again.

The four access paths at a glance

The site describes these as "four access paths with explicit capability boundaries," so pick the one that matches your task rather than expecting identical features across all four.

Desktop / Windows: when you need to see the failure

Choose the desktop app when a human needs to inspect and repair XML. The workbench keeps the original document, its assigned schema, a preview, and the validation findings together, so a failure message connects to the affected line in the source. That loop—validate, understand, fix, run again—is the core of the product's design.

Use it when:

• You are authoring or correcting XML and want schema-aware context while editing.
• You need to review batch results and follow up on individual failures.
• You want text and grid views of validation reports for inspection.

CLI / CI with ValBuddy: when checks must repeat

ValBuddy is the automation path. It runs deterministic XML checks locally from a developer shell, an AI coding agent, a scheduled task, or a Windows CI runner. The site's stated benefit is reduced setup work: ready-to-run commands avoid repeatedly selecting dependencies, generating validation glue code, and troubleshooting argument order.

A typical workflow looks like this:

1. Input: point ValBuddy at a file, a folder, or a batch of XML documents, with the relevant XSD, DTD, or Schematron rules.
2. Action: run the validation command from your shell or CI step.
3. Expected result: a pass/fail result with diagnostics you can act on; failures should identify where the problem is so you can correct the data and re-run.

Use it when validation is part of a pipeline—pre-commit checks, scheduled jobs, or a Windows CI runner—rather than a one-off manual review.

Web API: when you need one focused operation

The Web API is not a full validation workbench. Per the site, it covers well-formedness checks, XML formatting, and verification of the documented safe signature profile through a shared service contract. Reach for it when you need a single, narrow operation rather than schema-driven validation of a document set.

AI agents: deterministic tools instead of improvised setup

For agent workflows, the pitch is reducing unnecessary model context and setup work. Instead of having an agent figure out dependencies and validation glue, you give it the deterministic ValBuddy tools and the diagnostics it needs. This fits teams already using AI coding agents who want XML correctness checks to be reproducible rather than improvised.

How to decide

• Correcting a specific document by hand? Start with the desktop app.
• Running the same checks repeatedly or in CI? Use ValBuddy from the CLI.
• Needing well-formedness, formatting, or the safe signature profile in a service? Use the Web API.
• Having an agent perform validation steps? Connect it to the ValBuddy tools.

The site lists a free trial and references pricing, but the provided material does not include prices, plan details, or login requirements—check the site directly for current terms before committing to a path.