This version is still in development and is not considered stable yet. For the latest snapshot version, please use Spring AI 1.0.0-SNAPSHOT!spring-doc.cn

Moderation

Introduction

Spring AI supports OpenAI’s Moderation model, which allows you to detect potentially harmful or sensitive content in text. Follow this guide to for more information on OpenAI’s moderation model.spring-doc.cn

Prerequisites

  1. Create an OpenAI account and obtain an API key. You can sign up at the OpenAI signup page and generate an API key on the API Keys page.spring-doc.cn

  2. Add the spring-ai-openai dependency to your project’s build file. For more information, refer to the Dependency Management section.spring-doc.cn

Auto-configuration

Spring AI provides Spring Boot auto-configuration for the OpenAI Text-to-Speech Client. To enable it add the following dependency to your project’s Maven pom.xml file:spring-doc.cn

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
</dependency>

or to your Gradle build.gradle build file:spring-doc.cn

dependencies {
    implementation 'org.springframework.ai:spring-ai-openai-spring-boot-starter'
}
Refer to the Dependency Management section to add the Spring AI BOM to your build file.

Moderation Properties

Connection Properties

The prefix spring.ai.openai is used as the property prefix that lets you connect to OpenAI.spring-doc.cn

Propertyspring-doc.cn

Descriptionspring-doc.cn

Defaultspring-doc.cn

spring.ai.openai.base-urlspring-doc.cn

The URL to connect tospring-doc.cn

api.openai.comspring-doc.cn

spring.ai.openai.api-keyspring-doc.cn

The API Keyspring-doc.cn

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spring.ai.openai.organization-idspring-doc.cn

Optionally you can specify which organization is used for an API request.spring-doc.cn

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spring.ai.openai.project-idspring-doc.cn

Optionally, you can specify which project is used for an API request.spring-doc.cn

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For users that belong to multiple organizations (or are accessing their projects through their legacy user API key), optionally, you can specify which organization and project is used for an API request. Usage from these API requests will count as usage for the specified organization and project.

Configuration Properties

The prefix spring.ai.openai.moderation is used as the property prefix for configuring the OpenAI moderation model.spring-doc.cn

Propertyspring-doc.cn

Descriptionspring-doc.cn

Defaultspring-doc.cn

spring.ai.openai.moderation.base-urlspring-doc.cn

The URL to connect tospring-doc.cn

api.openai.comspring-doc.cn

spring.ai.openai.moderation.api-keyspring-doc.cn

The API Keyspring-doc.cn

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spring.ai.openai.moderation.organization-idspring-doc.cn

Optionally you can specify which organization is used for an API request.spring-doc.cn

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spring.ai.openai.moderation.project-idspring-doc.cn

Optionally, you can specify which project is used for an API request.spring-doc.cn

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spring.ai.openai.moderation.options.modelspring-doc.cn

ID of the model to use for moderation.spring-doc.cn

text-moderation-latestspring-doc.cn
You can override the common spring.ai.openai.base-url, spring.ai.openai.api-key, spring.ai.openai.organization-id and spring.ai.openai.project-id properties. The spring.ai.openai.moderation.base-url, spring.ai.openai.moderation.api-key, spring.ai.openai.moderation.organization-id and spring.ai.openai.moderation.project-id properties, if set, take precedence over the common properties. This is useful if you want to use different OpenAI accounts for different models and different model endpoints.
All properties prefixed with spring.ai.openai.moderation.options can be overridden at runtime.

Runtime Options

The OpenAiModerationOptions class provides the options to use when making a moderation request. On start-up, the options specified by spring.ai.openai.moderation are used, but you can override these at runtime.spring-doc.cn

For example:spring-doc.cn

OpenAiModerationOptions moderationOptions = OpenAiModerationOptions.builder()
    .withModel("text-moderation-latest")
    .build();

ModerationPrompt moderationPrompt = new ModerationPrompt("Text to be moderated", this.moderationOptions);
ModerationResponse response = openAiModerationModel.call(this.moderationPrompt);

// Access the moderation results
Moderation moderation = moderationResponse.getResult().getOutput();

// Print general information
System.out.println("Moderation ID: " + moderation.getId());
System.out.println("Model used: " + moderation.getModel());

// Access the moderation results (there's usually only one, but it's a list)
for (ModerationResult result : moderation.getResults()) {
    System.out.println("\nModeration Result:");
    System.out.println("Flagged: " + result.isFlagged());

    // Access categories
    Categories categories = this.result.getCategories();
    System.out.println("\nCategories:");
    System.out.println("Sexual: " + categories.isSexual());
    System.out.println("Hate: " + categories.isHate());
    System.out.println("Harassment: " + categories.isHarassment());
    System.out.println("Self-Harm: " + categories.isSelfHarm());
    System.out.println("Sexual/Minors: " + categories.isSexualMinors());
    System.out.println("Hate/Threatening: " + categories.isHateThreatening());
    System.out.println("Violence/Graphic: " + categories.isViolenceGraphic());
    System.out.println("Self-Harm/Intent: " + categories.isSelfHarmIntent());
    System.out.println("Self-Harm/Instructions: " + categories.isSelfHarmInstructions());
    System.out.println("Harassment/Threatening: " + categories.isHarassmentThreatening());
    System.out.println("Violence: " + categories.isViolence());

    // Access category scores
    CategoryScores scores = this.result.getCategoryScores();
    System.out.println("\nCategory Scores:");
    System.out.println("Sexual: " + scores.getSexual());
    System.out.println("Hate: " + scores.getHate());
    System.out.println("Harassment: " + scores.getHarassment());
    System.out.println("Self-Harm: " + scores.getSelfHarm());
    System.out.println("Sexual/Minors: " + scores.getSexualMinors());
    System.out.println("Hate/Threatening: " + scores.getHateThreatening());
    System.out.println("Violence/Graphic: " + scores.getViolenceGraphic());
    System.out.println("Self-Harm/Intent: " + scores.getSelfHarmIntent());
    System.out.println("Self-Harm/Instructions: " + scores.getSelfHarmInstructions());
    System.out.println("Harassment/Threatening: " + scores.getHarassmentThreatening());
    System.out.println("Violence: " + scores.getViolence());
}

Manual Configuration

Add the spring-ai-openai dependency to your project’s Maven pom.xml file:spring-doc.cn

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-openai</artifactId>
</dependency>

or to your Gradle build.gradle build file:spring-doc.cn

dependencies {
    implementation 'org.springframework.ai:spring-ai-openai'
}
Refer to the Dependency Management section to add the Spring AI BOM to your build file.

Next, create an OpenAiModerationModel:spring-doc.cn

OpenAiModerationApi openAiModerationApi = new OpenAiModerationApi(System.getenv("OPENAI_API_KEY"));

OpenAiModerationModel openAiModerationModel = new OpenAiModerationModel(this.openAiModerationApi);

OpenAiModerationOptions moderationOptions = OpenAiModerationOptions.builder()
    .withModel("text-moderation-latest")
    .build();

ModerationPrompt moderationPrompt = new ModerationPrompt("Text to be moderated", this.moderationOptions);
ModerationResponse response = this.openAiModerationModel.call(this.moderationPrompt);

Example Code

The OpenAiModerationModelIT test provides some general examples of how to use the library. You can refer to this test for more detailed usage examples.spring-doc.cn