azure-ai-contentsafety-ts
microsoft/skills
Analice textos e imágenes en busca de contenido dañino utilizando Azure AI Content Safety, con listas de bloqueo personalizables y umbrales de gravedad.
...Expandir todoSDK de REST de Azure AI Content Safety para TypeScript
Analiza texto e imágenes en busca de contenido dañino con listas de bloqueo personalizables.
Instalación
npm install @azure-rest/ai-content-safety @azure/identity @azure/core-auth
Variables de entorno
CONTENT_SAFETY_ENDPOINT=https://<recurso>.cognitiveservices.azure.com
CONTENT_SAFETY_KEY=<clave-api>
AZURE_TOKEN_CREDENTIALS=prod # Solo es necesario si se usa DefaultAzureCredential en producción
</clave-api></recurso>Autenticación
Importante: Este es un cliente REST. ContentSafetyClient es una función, no una clase.
Clave de API
import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";
const client = ContentSafetyClient(
process.env.CONTENT_SAFETY_ENDPOINT!,
new AzureKeyCredential(process.env.CONTENT_SAFETY_KEY!)
);
DefaultAzureCredential
import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";
// Desarrollo local: DefaultAzureCredential. Producción: establece AZURE_TOKEN_CREDENTIALS=prod o AZURE_TOKEN_CREDENTIALS=<credencial_específica>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// O utiliza una credencial específica directamente en producción:
// Consulta https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();
const client = ContentSafetyClient(
process.env.CONTENT_SAFETY_ENDPOINT!,
credential
);
</credencial_específica>Analizar texto
import ContentSafetyClient, { isUnexpected } from "@azure-rest/ai-content-safety";
const result = await client.path("/text:analyze").post({
body: {
text: "Contenido de texto para analizar",
categories: ["Hate", "Sexual", "Violence", "SelfHarm"],
outputType: "FourSeverityLevels" // o "EightSeverityLevels"
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const analysis of result.body.categoriesAnalysis) {
console.log(`${analysis.category}: severidad ${analysis.severity}`);
}
Analizar imagen
Contenido Base64
import { readFileSync } from "node:fs";
const imageBuffer = readFileSync("./image.png");
const base64Image = imageBuffer.toString("base64");
const result = await client.path("/image:analyze").post({
body: {
image: { content: base64Image }
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const analysis of result.body.categoriesAnalysis) {
console.log(`${analysis.category}: severidad ${analysis.severity}`);
}
URL de blob
const result = await client.path("/image:analyze").post({
body: {
image: { blobUrl: "https://storage.blob.core.windows.net/container/image.png" }
}
});
Gestión de listas de bloqueo
Crear lista de bloqueo
const result = await client
.path("/text/blocklists/{blocklistName}", "mi-lista-bloqueo")
.patch({
contentType: "application/merge-patch+json",
body: {
description: "Lista de bloqueo personalizada para términos prohibidos"
}
});
if (isUnexpected(result)) {
throw result.body;
}
console.log(`Creado: ${result.body.blocklistName}`);
Agregar elementos a la lista de bloqueo
const result = await client
.path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", "mi-lista-bloqueo")
.post({
body: {
blocklistItems: [
{ text: "término-prohibido-1", description: "Primer término bloqueado" },
{ text: "término-prohibido-2", description: "Segundo término bloqueado" }
]
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const item of result.body.blocklistItems ?? []) {
console.log(`Agregado: ${item.blocklistItemId}`);
}
Analizar con lista de bloqueo
const result = await client.path("/text:analyze").post({
body: {
text: "Texto que podría contener términos bloqueados",
blocklistNames: ["mi-lista-bloqueo"],
haltOnBlocklistHit: false
}
});
if (isUnexpected(result)) {
throw result.body;
}
// Comprobar coincidencias de la lista de bloqueo
if (result.body.blocklistsMatch) {
for (const match of result.body.blocklistsMatch) {
console.log(`Bloqueado: "${match.blocklistItemText}" de ${match.blocklistName}`);
}
}
Listar listas de bloqueo
const result = await client.path("/text/blocklists").get();
if (isUnexpected(result)) {
throw result.body;
}
for (const blocklist of result.body.value ?? []) {
console.log(`${blocklist.blocklistName}: ${blocklist.description}`);
}
Eliminar lista de bloqueo
await client.path("/text/blocklists/{blocklistName}", "mi-lista-bloqueo").delete();
Categorías de daño
| Categoría | Término de la API | Descripción |
|---|---|---|
| Odio y equidad | `Hate` | Lenguaje discriminatorio dirigido a grupos de identidad |
| Sexual | `Sexual` | Contenido sexual, desnudez, pornografía |
| Violencia | `Violence` | Daño físico, armas, terrorismo |
| Autolesión | `SelfHarm` | Autolesión, suicidio, trastornos alimentarios |
Niveles de severidad
| Nivel | Riesgo | Acción recomendada |
|---|---|---|
| 0 | Seguro | Permitir |
| 2 | Bajo | Revisar o permitir con advertencia |
| 4 | Medio | Bloquear o requerir revisión humana |
| 6 | Alto | Bloquear inmediatamente |
Tipos de salida:
FourSeverityLevels(predeterminado): Devuelve 0, 2, 4, 6EightSeverityLevels: Devuelve 0-7
Ayudante de moderación de contenido
import ContentSafetyClient, {
isUnexpected,
TextCategoriesAnalysisOutput
} from "@azure-rest/ai-content-safety";
interface ModerationResult {
isAllowed: boolean;
flaggedCategories: string[];
maxSeverity: number;
blocklistMatches: string[];
}
async function moderateContent(
client: ReturnType<typeof>,
text: string,
maxAllowedSeverity = 2,
blocklistNames: string[] = []
): Promise<moderationresult> {
const result = await client.path("/text:analyze").post({
body: { text, blocklistNames, haltOnBlocklistHit: false }
});
if (isUnexpected(result)) {
throw result.body;
}
const flaggedCategories = result.body.categoriesAnalysis
.filter(c => (c.severity ?? 0) > maxAllowedSeverity)
.map(c => c.category!);
const maxSeverity = Math.max(
...result.body.categoriesAnalysis.map(c => c.severity ?? 0)
);
const blocklistMatches = (result.body.blocklistsMatch ?? [])
.map(m => m.blocklistItemText!);
return {
isAllowed: flaggedCategories.length === 0 && blocklistMatches.length === 0,
flaggedCategories,
maxSeverity,
blocklistMatches
};
}
</moderationresult></typeof>Puntos finales de la API
| Operación | Método | Ruta |
|---|---|---|
| Analizar texto | POST | `/text:analyze` |
| Analizar imagen | POST | `/image:analyze` |
| Crear/actualizar lista de bloqueo | PATCH | `/text/blocklists/{blocklistName}` |
| Listar listas de bloqueo | GET | `/text/blocklists` |
| Eliminar lista de bloqueo | DELETE | `/text/blocklists/{blocklistName}` |
| Agregar elementos de lista de bloqueo | POST | `/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems` |
| Listar elementos de lista de bloqueo | GET | `/text/blocklists/{blocklistName}/blocklistItems` |
| Eliminar elementos de lista de bloqueo | POST | `/text/blocklists/{blocklistName}:removeBlocklistItems` |
Tipos clave
import ContentSafetyClient, {
isUnexpected,
AnalyzeTextParameters,
AnalyzeImageParameters,
TextCategoriesAnalysisOutput,
ImageCategoriesAnalysisOutput,
TextBlocklist,
TextBlocklistItem
} from "@azure-rest/ai-content-safety";
Mejores prácticas
- Utiliza siempre isUnexpected() - Control de tipos para el manejo de errores
- Establece umbrales adecuados - Diferentes categorías pueden necesitar diferentes umbrales de severidad
- Utiliza listas de bloqueo para términos específicos del dominio - Complementa la detección de IA con reglas personalizadas
- Registra las decisiones de moderación - Mantén un registro de auditoría para el cumplimiento normativo
- Gestiona casos extremos - Texto vacío, texto muy largo, formatos de imagen no compatibles
---
name: azure-ai-contentsafety-ts
description: Analyze text and images for harmful content using Azure AI Content Safety, with customizable blocklists and severity thresholds.
license: MIT
---
# Azure AI Content Safety REST SDK for TypeScript
Analyze text and images for harmful content with customizable blocklists.
## Installation
```bash
npm install @azure-rest/ai-content-safety @azure/identity @azure/core-auth
```
## Environment Variables
```bash
CONTENT_SAFETY_ENDPOINT=https://<resource>.cognitiveservices.azure.com
CONTENT_SAFETY_KEY=<api-key>
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
```
## Authentication
**Important**: This is a REST client. `ContentSafetyClient` is a **function**, not a class.
### API Key
```typescript
import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";
const client = ContentSafetyClient(
process.env.CONTENT_SAFETY_ENDPOINT!,
new AzureKeyCredential(process.env.CONTENT_SAFETY_KEY!)
);
```
### DefaultAzureCredential
```typescript
import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();
const client = ContentSafetyClient(
process.env.CONTENT_SAFETY_ENDPOINT!,
credential
);
```
## Analyze Text
```typescript
import ContentSafetyClient, { isUnexpected } from "@azure-rest/ai-content-safety";
const result = await client.path("/text:analyze").post({
body: {
text: "Text content to analyze",
categories: ["Hate", "Sexual", "Violence", "SelfHarm"],
outputType: "FourSeverityLevels" // or "EightSeverityLevels"
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const analysis of result.body.categoriesAnalysis) {
console.log(`${analysis.category}: severity ${analysis.severity}`);
}
```
## Analyze Image
### Base64 Content
```typescript
import { readFileSync } from "node:fs";
const imageBuffer = readFileSync("./image.png");
const base64Image = imageBuffer.toString("base64");
const result = await client.path("/image:analyze").post({
body: {
image: { content: base64Image }
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const analysis of result.body.categoriesAnalysis) {
console.log(`${analysis.category}: severity ${analysis.severity}`);
}
```
### Blob URL
```typescript
const result = await client.path("/image:analyze").post({
body: {
image: { blobUrl: "https://storage.blob.core.windows.net/container/image.png" }
}
});
```
## Blocklist Management
### Create Blocklist
```typescript
const result = await client
.path("/text/blocklists/{blocklistName}", "my-blocklist")
.patch({
contentType: "application/merge-patch+json",
body: {
description: "Custom blocklist for prohibited terms"
}
});
if (isUnexpected(result)) {
throw result.body;
}
console.log(`Created: ${result.body.blocklistName}`);
```
### Add Items to Blocklist
```typescript
const result = await client
.path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", "my-blocklist")
.post({
body: {
blocklistItems: [
{ text: "prohibited-term-1", description: "First blocked term" },
{ text: "prohibited-term-2", description: "Second blocked term" }
]
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const item of result.body.blocklistItems ?? []) {
console.log(`Added: ${item.blocklistItemId}`);
}
```
### Analyze with Blocklist
```typescript
const result = await client.path("/text:analyze").post({
body: {
text: "Text that might contain blocked terms",
blocklistNames: ["my-blocklist"],
haltOnBlocklistHit: false
}
});
if (isUnexpected(result)) {
throw result.body;
}
// Check blocklist matches
if (result.body.blocklistsMatch) {
for (const match of result.body.blocklistsMatch) {
console.log(`Blocked: "${match.blocklistItemText}" from ${match.blocklistName}`);
}
}
```
### List Blocklists
```typescript
const result = await client.path("/text/blocklists").get();
if (isUnexpected(result)) {
throw result.body;
}
for (const blocklist of result.body.value ?? []) {
console.log(`${blocklist.blocklistName}: ${blocklist.description}`);
}
```
### Delete Blocklist
```typescript
await client.path("/text/blocklists/{blocklistName}", "my-blocklist").delete();
```
## Harm Categories
| Category | API Term | Description |
|----------|----------|-------------|
| Hate and Fairness | `Hate` | Discriminatory language targeting identity groups |
| Sexual | `Sexual` | Sexual content, nudity, pornography |
| Violence | `Violence` | Physical harm, weapons, terrorism |
| Self-Harm | `SelfHarm` | Self-injury, suicide, eating disorders |
## Severity Levels
| Level | Risk | Recommended Action |
|-------|------|-------------------|
| 0 | Safe | Allow |
| 2 | Low | Review or allow with warning |
| 4 | Medium | Block or require human review |
| 6 | High | Block immediately |
**Output Types**:
- `FourSeverityLevels` (default): Returns 0, 2, 4, 6
- `EightSeverityLevels`: Returns 0-7
## Content Moderation Helper
```typescript
import ContentSafetyClient, {
isUnexpected,
TextCategoriesAnalysisOutput
} from "@azure-rest/ai-content-safety";
interface ModerationResult {
isAllowed: boolean;
flaggedCategories: string[];
maxSeverity: number;
blocklistMatches: string[];
}
async function moderateContent(
client: ReturnType<typeof ContentSafetyClient>,
text: string,
maxAllowedSeverity = 2,
blocklistNames: string[] = []
): Promise<ModerationResult> {
const result = await client.path("/text:analyze").post({
body: { text, blocklistNames, haltOnBlocklistHit: false }
});
if (isUnexpected(result)) {
throw result.body;
}
const flaggedCategories = result.body.categoriesAnalysis
.filter(c => (c.severity ?? 0) > maxAllowedSeverity)
.map(c => c.category!);
const maxSeverity = Math.max(
...result.body.categoriesAnalysis.map(c => c.severity ?? 0)
);
const blocklistMatches = (result.body.blocklistsMatch ?? [])
.map(m => m.blocklistItemText!);
return {
isAllowed: flaggedCategories.length === 0 && blocklistMatches.length === 0,
flaggedCategories,
maxSeverity,
blocklistMatches
};
}
```
## API Endpoints
| Operation | Method | Path |
|-----------|--------|------|
| Analyze Text | POST | `/text:analyze` |
| Analyze Image | POST | `/image:analyze` |
| Create/Update Blocklist | PATCH | `/text/blocklists/{blocklistName}` |
| List Blocklists | GET | `/text/blocklists` |
| Delete Blocklist | DELETE | `/text/blocklists/{blocklistName}` |
| Add Blocklist Items | POST | `/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems` |
| List Blocklist Items | GET | `/text/blocklists/{blocklistName}/blocklistItems` |
| Remove Blocklist Items | POST | `/text/blocklists/{blocklistName}:removeBlocklistItems` |
## Key Types
```typescript
import ContentSafetyClient, {
isUnexpected,
AnalyzeTextParameters,
AnalyzeImageParameters,
TextCategoriesAnalysisOutput,
ImageCategoriesAnalysisOutput,
TextBlocklist,
TextBlocklistItem
} from "@azure-rest/ai-content-safety";
```
## Best Practices
1. **Always use isUnexpected()** - Type guard for error handling
2. **Set appropriate thresholds** - Different categories may need different severity thresholds
3. **Use blocklists for domain-specific terms** - Supplement AI detection with custom rules
4. **Log moderation decisions** - Keep audit trail for compliance
5. **Handle edge cases** - Empty text, very long text, unsupported image formats
Todos los archivos
0 archivosInstalar azure-ai-contentsafety-ts
Descarga y extrae los archivos de habilidades en tu directorio .claude/skills/.
Descargar ZIPClona el repositorio y copia los archivos de la habilidad a tu proyecto.
git clone https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-typescript/skills/azure-ai-contentsafety-ts # Copy SKILL.md to your .claude/skills/ directory
Copiar





Hogar
