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Basé sur la classification professionnelle SOC
name azure-ai-contentsafety-java description Build content moderation applications using the Azure AI Content Safety SDK for Java. type skill created 2026-02-27T00:00:00.000Z domain cloud-infrastructure category azure risk unknown source community tags ["skill","cloud-infrastructure","azure","contentsafety"]
Azure AI Content Safety SDK for Java
Build content moderation applications using the Azure AI Content Safety SDK for Java.
Installation
<dependency >
<groupId > com.azure</groupId >
<artifactId > azure-ai-contentsafety</artifactId >
<version > 1.1.0-beta.1</version >
</dependency >
Client Creation
With API Key
import com.azure.ai.contentsafety.ContentSafetyClient;
import com.azure.ai.contentsafety.ContentSafetyClientBuilder;
import com.azure.ai.contentsafety.BlocklistClient;
import com.azure.ai.contentsafety.BlocklistClientBuilder;
import com.azure.core.credential.KeyCredential;
String endpoint = System.getenv("CONTENT_SAFETY_ENDPOINT" );
String key = System.getenv("CONTENT_SAFETY_KEY" );
ContentSafetyClient contentSafetyClient = new ContentSafetyClientBuilder ()
.credential(new KeyCredential (key))
.endpoint(endpoint)
.buildClient();
BlocklistClient blocklistClient = new BlocklistClientBuilder ()
.credential(new KeyCredential (key))
.endpoint(endpoint)
.buildClient();
With DefaultAzureCredential import com.azure.identity.DefaultAzureCredentialBuilder;
ContentSafetyClient client = new ContentSafetyClientBuilder ()
.credential(new DefaultAzureCredentialBuilder ().build())
.endpoint(endpoint)
.buildClient();
Key Concepts
Harm Categories Category Description Hate Discriminatory language based on identity groups Sexual Sexual content, relationships, acts Violence Physical harm, weapons, injury Self-harm Self-injury, suicide-related content
Severity Levels
Text: 0-7 scale (default outputs 0, 2, 4, 6)
Image: 0, 2, 4, 6 (trimmed scale)
Core Patterns
Analyze Text import com.azure.ai.contentsafety.models.*;
AnalyzeTextResult result = contentSafetyClient.analyzeText(
new AnalyzeTextOptions ("This is text to analyze" ));
for (TextCategoriesAnalysis category : result.getCategoriesAnalysis()) {
System.out.printf("Category: %s, Severity: %d%n" ,
category.getCategory(),
category.getSeverity());
}
Analyze Text with Options AnalyzeTextOptions options = new AnalyzeTextOptions ("Text to analyze" )
.setCategories(Arrays.asList(
TextCategory.HATE,
TextCategory.VIOLENCE))
.setOutputType(AnalyzeTextOutputType.EIGHT_SEVERITY_LEVELS);
AnalyzeTextResult result = contentSafetyClient.analyzeText(options);
Analyze Text with Blocklist AnalyzeTextOptions options = new AnalyzeTextOptions ("I h*te you and want to k*ll you" )
.setBlocklistNames(Arrays.asList("my-blocklist" ))
.setHaltOnBlocklistHit(true );
AnalyzeTextResult result = contentSafetyClient.analyzeText(options);
if (result.getBlocklistsMatch() != null ) {
for (TextBlocklistMatch match : result.getBlocklistsMatch()) {
System.out.printf("Blocklist: %s, Item: %s, Text: %s%n" ,
match.getBlocklistName(),
match.getBlocklistItemId(),
match.getBlocklistItemText());
}
}
Analyze Image import com.azure.ai.contentsafety.models.*;
import com.azure.core.util.BinaryData;
import java.nio.file.Files;
import java.nio.file.Paths;
byte [] imageBytes = Files.readAllBytes(Paths.get("image.png" ));
ContentSafetyImageData imageData = new ContentSafetyImageData ()
.setContent(BinaryData.fromBytes(imageBytes));
AnalyzeImageResult result = contentSafetyClient.analyzeImage(
new AnalyzeImageOptions (imageData));
for (ImageCategoriesAnalysis category : result.getCategoriesAnalysis()) {
System.out.printf("Category: %s, Severity: %d%n" ,
category.getCategory(),
category.getSeverity());
}
Analyze Image from URL ContentSafetyImageData imageData = new ContentSafetyImageData ()
.setBlobUrl("https://example.com/image.jpg" );
AnalyzeImageResult result = contentSafetyClient.analyzeImage(
new AnalyzeImageOptions (imageData));
Blocklist Management
Create or Update Blocklist import com.azure.core.http.rest.RequestOptions;
import com.azure.core.http.rest.Response;
import com.azure.core.util.BinaryData;
import java.util.Map;
Map<String, String> description = Map.of("description" , "Custom blocklist" );
BinaryData resource = BinaryData.fromObject(description);
Response<BinaryData> response = blocklistClient.createOrUpdateTextBlocklistWithResponse(
"my-blocklist" , resource, new RequestOptions ());
if (response.getStatusCode() == 201 ) {
System.out.println("Blocklist created" );
} else if (response.getStatusCode() == 200 ) {
System.out.println("Blocklist updated" );
}
Add Block Items import com.azure.ai.contentsafety.models.*;
import java.util.Arrays;
List<TextBlocklistItem> items = Arrays.asList(
new TextBlocklistItem ("badword1" ).setDescription("Offensive term" ),
new TextBlocklistItem ("badword2" ).setDescription("Another term" )
);
AddOrUpdateTextBlocklistItemsResult result = blocklistClient.addOrUpdateBlocklistItems(
"my-blocklist" ,
new AddOrUpdateTextBlocklistItemsOptions (items));
for (TextBlocklistItem item : result.getBlocklistItems()) {
System.out.printf("Added: %s (ID: %s)%n" ,
item.getText(),
item.getBlocklistItemId());
}
List Blocklists PagedIterable<TextBlocklist> blocklists = blocklistClient.listTextBlocklists();
for (TextBlocklist blocklist : blocklists) {
System.out.printf("Blocklist: %s, Description: %s%n" ,
blocklist.getName(),
blocklist.getDescription());
}
Get Blocklist TextBlocklist blocklist = blocklistClient.getTextBlocklist("my-blocklist" );
System.out.println("Name: " + blocklist.getName());
List Block Items PagedIterable<TextBlocklistItem> items =
blocklistClient.listTextBlocklistItems("my-blocklist" );
for (TextBlocklistItem item : items) {
System.out.printf("ID: %s, Text: %s%n" ,
item.getBlocklistItemId(),
item.getText());
}
Remove Block Items List<String> itemIds = Arrays.asList("item-id-1" , "item-id-2" );
blocklistClient.removeBlocklistItems(
"my-blocklist" ,
new RemoveTextBlocklistItemsOptions (itemIds));
Delete Blocklist blocklistClient.deleteTextBlocklist("my-blocklist" );
Error Handling import com.azure.core.exception.HttpResponseException;
try {
contentSafetyClient.analyzeText(new AnalyzeTextOptions ("test" ));
} catch (HttpResponseException e) {
System.out.println("Status: " + e.getResponse().getStatusCode());
System.out.println("Error: " + e.getMessage());
}
Environment Variables CONTENT_SAFETY_ENDPOINT=https://<resource>.cognitiveservices.azure.com/
CONTENT_SAFETY_KEY=<your-api-key>
Best Practices
Blocklist Delay : Changes take ~5 minutes to take effectCategory Selection : Only request needed categories to reduce latencySeverity Thresholds : Typically block severity >= 4 for strict moderationBatch Processing : Process multiple items in parallel for throughputCaching : Cache blocklist results where appropriate
Trigger Phrases
"content safety Java"
"content moderation Azure"
"analyze text safety"
"image moderation Java"
"blocklist management"
"hate speech detection"
"harmful content filter"
When to Use This skill is applicable to execute the workflow or actions described in the overview.
Connections
Domain: [[Cloud & Infrastruktur]]Kategorie: [[Microsoft Azure]]Navigation: [[Skills Uebersicht]], [[Home]] 