### 5. Corrección de Salida de Gemini ```json // Salida de Gemini Rota { "análisis_de_consulta": { "intención": "buscar", "filtros": { "rango_de_fechas": ["2024-01", "2024-03"], "categorías": ["tecnología", "ia", "datos"] } } } // Respuesta de la API { "json_reparado": "{\"análisis_de_consulta\":{\"intención\":\"buscar\",\"filtros\":{\"rango_de_fechas\":[\"2024-01\",\"2024-03\"],\"categorías\":[\"tecnología\",\"ia\",\"datos\"]}}}" } ```

El punto final de reparación devuelve un objeto JSON que contiene una única clave, "repaired_json", que alberga la cadena JSON corregida. Esta salida asegura que cualquier entrada mal formada se transforme en un formato JSON válido, listo para un procesamiento adicional.

El campo principal en los datos de respuesta es "repaired_json", que contiene la cadena JSON corregida. Este campo es crucial para que los usuarios recuperen los datos corregidos después de enviar su entrada JSON malformada.

Los datos de respuesta están estructurados como un objeto JSON con una única clave, "repaired_json." El valor asociado a esta clave es la cadena JSON válida, asegurando una salida sencilla y fácil de analizar para los usuarios.

El punto final de reparación acepta un solo parámetro: la cadena JSON malformada. Los usuarios simplemente necesitan proporcionar esta entrada en el cuerpo de la solicitud para recibir el JSON corregido como respuesta.

Los usuarios pueden personalizar sus solicitudes proporcionando diferentes cadenas JSON mal formadas como entrada. La API analiza automáticamente y repara varios tipos de errores JSON, lo que la hace adaptable a diversos escenarios.

Casos de uso comunes incluyen corregir salidas JSON de modelos de IA, limpiar datos para tuberías, depurar errores de sintaxis JSON durante el desarrollo y estandarizar JSON de API externas antes de la integración.

La precisión de los datos se mantiene a través de un avanzado motor de análisis JSON que sigue reglas gramaticales formales para reconstruir JSON malformado. Esto garantiza reparaciones consistentes y confiables en varios tipos de errores de JSON.

La API emplea algoritmos inteligentes para identificar y corregir problemas comunes de JSON, como elementos faltantes y sintaxis inadecuada. Este enfoque sistemático ayuda a garantizar que el JSON reparado sea tanto válido como estructuralmente sólido.

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