/**
 * Union type representing the result of type validation
 *
 * This is the return type of {@link typia.validate} functions, returning
 * {@link IValidation.ISuccess} on validation success and
 * {@link IValidation.IFailure} on validation failure. When validation fails, it
 * provides detailed, granular error information that precisely describes what
 * went wrong, where it went wrong, and what was expected.
 *
 * This comprehensive error reporting makes `IValidation` particularly valuable
 * for AI function calling scenarios, where Large Language Models (LLMs) need
 * specific feedback to correct their parameter generation. The detailed error
 * information is used by ILlmFunction.validate() to provide validation feedback
 * to AI agents, enabling iterative correction and improvement of function
 * calling accuracy.
 *
 * This type uses the Discriminated Union pattern, allowing type specification
 * through the success property:
 *
 * ```typescript
 * const result = typia.validate<string>(input);
 * if (result.success) {
 *   // IValidation.ISuccess<string> type
 *   console.log(result.data); // validated data accessible
 * } else {
 *   // IValidation.IFailure type
 *   console.log(result.errors); // detailed error information accessible
 * }
 * ```
 *
 * @author Jeongho Nam - https://github.com/samchon
 * @template T The type to validate
 */
export type IValidation<T = unknown> = IValidation.ISuccess<T> | IValidation.IFailure;
export declare namespace IValidation {
    /**
     * Interface returned when type validation succeeds
     *
     * Returned when the input value perfectly conforms to the specified type T.
     * Since success is true, TypeScript's type guard allows safe access to the
     * validated data through the data property.
     *
     * @template T The validated type
     */
    interface ISuccess<T = unknown> {
        /** Indicates validation success */
        success: true;
        /** The validated data of type T */
        data: T;
    }
    /**
     * Interface returned when type validation fails
     *
     * Returned when the input value does not conform to the expected type.
     * Contains comprehensive error information designed to be easily understood
     * by both humans and AI systems. Each error in the errors array provides
     * precise details about validation failures, including the exact path to the
     * problematic property, what type was expected, and what value was actually
     * provided.
     *
     * This detailed error structure is specifically optimized for AI function
     * calling validation feedback. When LLMs make type errors during function
     * calling, these granular error reports enable the AI to understand exactly
     * what went wrong and how to fix it, improving success rates in subsequent
     * attempts.
     *
     * Example error scenarios:
     *
     * - Type mismatch: expected "string" but got number 5
     * - Format violation: expected "string & Format<'uuid'>" but got
     *   "invalid-format"
     * - Missing properties: expected "required property 'name'" but got undefined
     * - Array type errors: expected "Array<string>" but got single string value
     *
     * The errors are used by ILlmFunction.validate() to provide structured
     * feedback to AI agents, enabling them to correct their parameter generation
     * and achieve improved function calling accuracy.
     */
    interface IFailure {
        /** Indicates validation failure */
        success: false;
        /** The original input data that failed validation */
        data: unknown;
        /** Array of detailed validation errors */
        errors: IError[];
    }
    /**
     * Detailed information about a specific validation error
     *
     * Each error provides granular, actionable information about validation
     * failures, designed to be immediately useful for both human developers and
     * AI systems. The error structure follows a consistent format that enables
     * precise identification and correction of type mismatches.
     *
     * This error format is particularly valuable for AI function calling
     * scenarios, where LLMs need to understand exactly what went wrong to
     * generate correct parameters. The combination of path, expected type name,
     * actual value, and optional human-readable description provides the AI with
     * comprehensive context to make accurate corrections, which is why
     * ILlmFunction.validate() can achieve such high success rates in validation
     * feedback loops.
     *
     * The value field can contain any type of data, including `undefined` when
     * dealing with missing required properties or null/undefined validation
     * scenarios. This allows for precise error reporting in cases where the AI
     * agent omits required fields or provides null/undefined values
     * inappropriately.
     *
     * Real-world examples from AI function calling:
     *
     *     {
     *       path: "$input.member.age",
     *       expected: "number",
     *       value: "25"  // AI provided string instead of number
     *     }
     *
     *     {
     *       path: "$input.count",
     *       expected: "number & Type<'uint32'>",
     *       value: 20.75  // AI provided float instead of uint32
     *     }
     *
     *     {
     *       path: "$input.categories",
     *       expected: "Array<string>",
     *       value: "technology"  // AI provided string instead of array
     *     }
     *
     *     {
     *       path: "$input.id",
     *       expected: "string & Format<'uuid'>",
     *       value: "invalid-uuid-format"  // AI provided malformed UUID
     *     }
     *
     *     {
     *       path: "$input.user.name",
     *       expected: "string",
     *       value: undefined  // AI omitted required property
     *     }
     */
    interface IError {
        /**
         * The path to the property that failed validation
         *
         * Dot-notation path using $input prefix indicating the exact location of
         * the validation failure within the input object structure. Examples
         * include "$input.member.age", "$input.categories[0]",
         * "$input.user.profile.email"
         */
        path: string;
        /**
         * The expected type name or type expression
         *
         * Technical type specification that describes what type was expected at
         * this path. This follows TypeScript-like syntax with embedded constraint
         * information, such as "string", "number & Type<'uint32'>",
         * "Array<string>", "string & Format<'uuid'> & MinLength<8>", etc.
         */
        expected: string;
        /**
         * The actual value that caused the validation failure
         *
         * This field contains the actual value that was provided but failed
         * validation. Note that this value can be `undefined` in cases where a
         * required property is missing or when validating against undefined
         * values.
         */
        value: unknown;
        /**
         * Optional human-readable description of the validation error
         *
         * This field is rarely populated in standard typia validation and is
         * primarily intended for specialized AI agent libraries or custom
         * validation scenarios that require additional context beyond the technical
         * type information. Most validation errors rely solely on the path,
         * expected, and value fields for comprehensive error reporting.
         */
        description?: string;
    }
}