// Copyright (c) 2016, 2018, 2026, Oracle and/or its affiliates.  All rights reserved.
// This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
// Code generated. DO NOT EDIT.

// Generative AI Service Inference API
//
// OCI Generative AI is a fully managed service that provides a set of state-of-the-art, customizable large language models (LLMs) that cover a wide range of use cases for text generation, summarization, and text embeddings.
// Use the Generative AI service inference API to access your custom model endpoints, or to try the out-of-the-box models to /EN/generative-ai-inference/latest/ChatResult/Chat, /EN/generative-ai-inference/latest/GenerateTextResult/GenerateText, /EN/generative-ai-inference/latest/SummarizeTextResult/SummarizeText, and /EN/generative-ai-inference/latest/EmbedTextResult/EmbedText.
// To use a Generative AI custom model for inference, you must first create an endpoint for that model. Use the /EN/generative-ai/latest/ to /EN/generative-ai/latest/Model/ by fine-tuning an out-of-the-box model, or a previous version of a custom model, using your own data. Fine-tune the custom model on a /EN/generative-ai/latest/DedicatedAiCluster/. Then, create a /EN/generative-ai/latest/DedicatedAiCluster/ with an Endpoint to host your custom model. For resource management in the Generative AI service, use the /EN/generative-ai/latest/.
// To learn more about the service, see the Generative AI documentation (https://docs.oracle.com/iaas/Content/generative-ai/home.htm).
//

package generativeaiinference

import (
	"fmt"
	"github.com/oracle/oci-go-sdk/v65/common"
	"strings"
)

// ResponseJsonSchema The JSON schema definition to be used in JSON_SCHEMA response format.
type ResponseJsonSchema struct {

	// The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes.
	Name *string `mandatory:"true" json:"name"`

	// A description of what the response format is for, used by the model to determine how to respond in the format.
	Description *string `mandatory:"false" json:"description"`

	// The schema used by the structured output, described as a JSON Schema object.
	Schema *interface{} `mandatory:"false" json:"schema"`

	// Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the schema field. Only a subset of JSON Schema is supported when strict is true.
	IsStrict *bool `mandatory:"false" json:"isStrict"`
}

func (m ResponseJsonSchema) String() string {
	return common.PointerString(m)
}

// ValidateEnumValue returns an error when providing an unsupported enum value
// This function is being called during constructing API request process
// Not recommended for calling this function directly
func (m ResponseJsonSchema) ValidateEnumValue() (bool, error) {
	errMessage := []string{}

	if len(errMessage) > 0 {
		return true, fmt.Errorf("%s", strings.Join(errMessage, "\n"))
	}
	return false, nil
}
