AI agents

Process files locally. Give your AI agent the results it needs.

Use the ValBuddy Windows CLI for JSON Schema validation and file processing, then let the agent interpret focused diagnostics or generated output instead of placing the entire document in model context.

Install the ValBuddy Agent Plugin Download JSONBuddy + CLI

Ready-to-run local tools

Less setup, focused context

Validate JSON against JSON Schema
Format, minify, patch, and test with documented commands
Return exit status, diagnostics, or output files

The Agent Skill supplies tested wrappers and argument order so the agent does not have to recreate the integration for every task.

Agent-ready JSON workflows

Put JSON operations behind an explicit tool boundary

AI agents can use JSON tools for well-formedness checks, JSON Schema validation, formatting, batch processing, and diagnostics when those operations are exposed through a controlled skill, script, CLI, or service contract. The agent should receive the operation result and diagnostics, then decide the next change in the surrounding workflow.

Validate before acting

Let the agent call a validation tool and use the returned document and schema locations to propose a focused correction.

Keep transformations explicit

Choose a named formatting, conversion, or JSON Patch operation and inspect its result before using it downstream.

Preserve the evidence

Keep the command, input, output, and diagnostic result available to the developer or automation that owns the change.

Choose an agent integration

Use a skill, CLI, or Web API according to the execution context

Give the agent a narrow tool contract for the required JSON operation.
Provide the intended input, schema context, and expected result.
Run the tool and return the exit status, relevant diagnostics, or an explicit output file.
Review the proposed change, then repeat the tool call when the data or schema changes.

The dedicated ValBuddy for Codex page covers the product-specific CLI skill. This vendor-neutral hub keeps that integration distinct while linking to the wider JSON workflow.

Keep authority with the workflow owner

An agent can invoke a controlled tool and interpret its result, but the surrounding workflow should still define inputs, schemas, allowed operations, review steps, and any deployment decision.

Continue with the relevant tool

Connect agents to the correct JSON capability

Use the CLI / CI page for Windows command-line automation and the Web API page for published remote operations. Use solution pages when the agent needs task context for validation, schema editing, formatting, conversion, or JSON Patch.

Platform availability

Choose where to run this workflow

AI agentsControlled skills, scripts, and service contracts for agent workflows.

What stays local

Separate tool execution from model data handling

valbuddy.exe reads the paths supplied to it and performs the requested operation in the local Windows environment. The agent can usually work from the exit status and selected diagnostics rather than receiving a complete JSON document.

This does not define the AI provider's data handling: the agent may send selected content, prompts, or diagnostics to its model provider. A validation run may also use the network when a JSON Schema resolves remote references.

Agent-ready PowerShell

.\scripts\validate-json.ps1 `
            -SchemaPath "D:\Schemas\library_schema.json" `
            -InputFiles "D:\Data\library.json" `
            -VerboseOutput
            if ($LASTEXITCODE -ne 0) {
            throw "JSON validation failed"
            }

The skill handles executable discovery and the schema-first argument order. The same wrapper can be called from a developer session or CI job.