Keamanan Konten Azure AI pustaka klien REST untuk JavaScript - versi 1.0.0

Artikel
12/13/2023

/TypeScript

Keamanan Konten Azure AI mendeteksi konten yang dihasilkan pengguna dan buatan AI yang berbahaya dalam aplikasi dan layanan. Keamanan Konten mencakup API teks dan gambar yang memungkinkan Anda mendeteksi materi yang berbahaya.

TEXT Analysis API: Memindai teks untuk konten seksual, kekerasan, kebencian, dan melukai diri sendiri dengan tingkat multi-tingkat keparahan.
API Analisis Gambar: Memindai gambar untuk konten seksual, kekerasan, kebencian, dan melukai diri sendiri dengan tingkat multi-tingkat keparahan.
TEXT Blocklist Management API: Pengklasifikasi AI default cukup untuk sebagian besar kebutuhan keamanan konten; namun, Anda mungkin perlu menyaring istilah yang khusus untuk kasus penggunaan Anda. Anda dapat membuat daftar blokir istilah yang akan digunakan dengan Text API.

Harap sangat bergantung pada dokumen klien REST kami untuk menggunakan pustaka ini

Tautan utama:

Memulai

Lingkungan yang didukung saat ini

Versi LTS dari Node.js

Prasyarat

Anda memerlukan langganan Azure untuk menggunakan paket ini.
Sumber daya Keamanan Konten Azure AI, jika tidak ada sumber daya yang ada, Anda dapat membuat sumber daya baru.

Pasang paket `@azure-rest/ai-content-safety`

Instal pustaka klien REST klien rest Keamanan Konten Azure AI untuk JavaScript dengan npm:

npm install @azure-rest/ai-content-safety

Membuat dan mengautentikasi `ContentSafetyClient`

Mendapatkan titik akhir

Anda dapat menemukan titik akhir untuk sumber daya layanan Keamanan Konten Azure AI Anda menggunakan Portal Microsoft Azure atau Azure CLI:

# Get the endpoint for the Azure AI Content Safety service resource
az cognitiveservices account show --name "resource-name" --resource-group "resource-group-name" --query "properties.endpoint"

Membuat ContentSafetyClient dengan AzureKeyCredential

Langkah 1: Dapatkan kunci API

Kunci API dapat ditemukan di Portal Microsoft Azure atau dengan menjalankan perintah Azure CLI berikut:

az cognitiveservices account keys list --name "<resource-name>" --resource-group "<resource-group-name>"

Langkah 2: Membuat ContentSafetyClient dengan AzureKeyCredential

Untuk menggunakan kunci API sebagai credential parameter, teruskan kunci sebagai string ke dalam instans AzureKeyCredential.

import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = process.env["CONTENT_SAFETY_ENDPOINT"] || "<endpoint>";
const key = process.env["CONTENT_SAFETY_API_KEY"] || "<key>";
const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

Membuat ContentSafetyClient dengan kredensial token ID Microsoft Entra (sebelumnya Azure Active Directory (AAD))

Langkah 1: Aktifkan ID Microsoft Entra untuk sumber daya Anda Silakan lihat dokumen autentikasi Cognitive Services ini Autentikasi dengan ID Microsoft Entra. untuk langkah-langkah mengaktifkan AAD untuk sumber daya Anda.

Langkah utamanya adalah:
- Buat sumber daya dengan subdomain kustom.
- Buat Perwakilan Layanan dan tetapkan peran Pengguna Cognitive Services ke dalamnya.
Langkah 2: Atur nilai ID klien, ID penyewa, dan rahasia klien aplikasi AAD sebagai variabel lingkungan: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET

Untuk mengautentikasi dengan AAD, Anda harus terlebih dahulu npm menginstal @azure/identity. Setelah penyiapan, Anda dapat memilih jenis kredensial@azure/identity mana yang akan digunakan. Sebagai contoh, DefaultAzureCredential dapat digunakan untuk mengautentikasi klien.

import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { DefaultAzureCredential } from "@azure/identity";

const endpoint = process.env["CONTENT_SAFETY_ENDPOINT"] || "<endpoint>";
const client = ContentSafetyClient(endpoint, new DefaultAzureCredential());

Konsep utama

Fitur yang tersedia

Ada berbagai jenis analisis yang tersedia dari layanan ini. Tabel berikut ini menjelaskan API yang saat ini tersedia.

Fitur	Deskripsi
API Analisis Teks	Memindai teks untuk konten seksual, kekerasan, kebencian, dan melukai diri sendiri dengan tingkat multi-tingkat keparahan.
API Analisis Gambar	Memindai gambar untuk konten seksual, kekerasan, kebencian, dan melukai diri sendiri dengan tingkat keparahan multi.
API Manajemen Daftar Blokir Teks	Pengklasifikasi AI default cukup untuk sebagian besar kebutuhan keamanan konten. Namun, Anda mungkin perlu menyaring istilah yang khusus untuk kasus penggunaan Anda. Anda dapat membuat daftar blokir istilah yang akan digunakan dengan Text API.

Kategori bahaya

Keamanan Konten mengenali empat kategori konten yang berbeda yang tidak menyenangkan.

Kategori	Deskripsi
Benci	Kebencian mengacu pada konten apa pun yang menyerang atau menggunakan bahasa pejoratif atau diskriminatif sebagai referensi ke seseorang atau grup identitas berdasarkan atribut pembeda tertentu dari grup tersebut. Ini termasuk tetapi tidak terbatas pada ras, etnis, kebangsaan, identitas dan ekspresi gender, orientasi seksual, agama, status imigrasi, status kemampuan, penampilan pribadi, dan ukuran tubuh.
Seksual	Seksual menggambarkan konten yang terkait dengan organ anatomi dan alat kelamin, hubungan romantis, tindakan yang digambarkan dalam istilah erotis atau kasih sayang, kehamilan, tindakan seksual fisik—termasuk tindakan yang digambarkan sebagai penyerangan atau tindakan kekerasan seksual paksa terhadap kehendak seseorang—, prostitusi, pornografi, dan pelecehan.
Kekerasan	Kekerasan menjelaskan konten yang terkait dengan tindakan fisik yang dimaksudkan untuk melukai, melukai, merusak, atau membunuh seseorang atau sesuatu. Ini juga termasuk senjata, senjata dan entitas terkait, seperti produsen, asosiasi, undang-undang, dan sejenisnya.
Melukai diri sendiri	Melukai diri sendiri menggambarkan konten yang terkait dengan tindakan fisik yang dimaksudkan untuk dengan sengaja melukai, melukai, atau merusak tubuh seseorang atau membunuh diri sendiri.

Klasifikasi dapat dilabeli secara multi-label. Misalnya, ketika sampel teks melewati model moderasi teks, sampel teks dapat diklasifikasikan sebagai Konten seksual dan Kekerasan.

Tingkat keparahan

Setiap kategori bahaya yang diterapkan layanan juga dilengkapi dengan peringkat tingkat keparahan. Tingkat keparahan dimaksudkan untuk menunjukkan tingkat keparahan konsekuensi dari menunjukkan konten yang ditandai.

Teks: Versi model teks saat ini mendukung skala keparahan 0-7 penuh. Secara default, respons akan menghasilkan 4 nilai: 0, 2, 4, dan 6. Setiap dua tingkat yang berdampingan dipetakan ke satu tingkat. Pengguna dapat menggunakan "outputType" dalam permintaan dan mengaturnya sebagai "EightSeverityLevels" untuk mendapatkan 8 nilai dalam output: 0,1,2,3,4,5,6,7. Anda dapat merujuk definisi tingkat keparahan konten teks untuk detailnya.

[0,1] -> 0
[2,3] -> 2
[4,5] -> 4
[6,7] -> 6

Gambar: Versi model gambar saat ini mendukung versi yang dipangkas dari skala tingkat keparahan 0-7 penuh. Pengklasifikasi hanya mengembalikan tingkat keparahan 0, 2, 4, dan 6; masing-masing dua tingkat yang berdampingan dipetakan ke satu tingkat. Anda dapat merujuk definisi tingkat keparahan konten gambar untuk detailnya.

[0,1] -> 0
[2,3] -> 2
[4,5] -> 4
[6,7] -> 6

Manajemen daftar blokir teks

Operasi berikut didukung untuk mengelola daftar blokir teks Anda:

Membuat atau mengubah daftar blokir
Mencantumkan semua daftar blokir
Mendapatkan daftar blokir menurut blocklistName
Menambahkan blockItems ke daftar blokir
Menghapus blockItems dari daftar blokir
Mencantumkan semua blockItem dalam daftar blokir menurut blocklistName
Mendapatkan blockItem dalam daftar blokir menurut blockItemId dan blocklistName
Menghapus daftar blokir dan semua blockItems-nya

Anda dapat mengatur daftar blokir yang ingin Anda gunakan saat menganalisis teks, lalu Anda bisa mendapatkan hasil kecocokan daftar blokir dari respons yang dikembalikan.

Contoh

Bagian berikut ini menyediakan beberapa cuplikan kode yang mencakup beberapa tugas layanan Content Safety yang paling umum di TypeScript dan JavaScript, termasuk:

Analisa teks
Menganalisis Gambar
Mengelola daftar blokir teks

Analisa teks

Menganalisis teks tanpa daftar blokir

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

async function main() {
  const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
  const key = "<api_key>";

  const credential = new AzureKeyCredential(key);
  const client = ContentSafetyClient(endpoint, credential);

  const text = "This is a sample text";
  const analyzeTextOption = { text: text };
  const analyzeTextParameters = { body: analyzeTextOption };

  const result = await client.path("/text:analyze").post(analyzeTextParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  for (let i = 0; i < result.body.categoriesAnalysis.length; i++) {
    const textCategoriesAnalysisOutput = result.body.categoriesAnalysis[i];
    console.log(textCategoriesAnalysisOutput.category, " severity: ", textCategoriesAnalysisOutput.severity)
  }
}

main().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

async function main() {
  const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
  const key = "<api_key>";

  const credential = new AzureKeyCredential(key);
  const client = ContentSafetyClient(endpoint, credential);

  const text = "This is a sample text";
  const analyzeTextOption = { text: text };
  const analyzeTextParameters = { body: analyzeTextOption };

  const result = await client.path("/text:analyze").post(analyzeTextParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  for (let i = 0; i < result.body.categoriesAnalysis.length; i++) {
    const textCategoriesAnalysisOutput = result.body.categoriesAnalysis[i];
    console.log(
      textCategoriesAnalysisOutput.category,
      " severity: ",
      textCategoriesAnalysisOutput.severity
    );
  }
}

main().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Menganalisis teks dengan daftar blokir

TypeScript

import ContentSafetyClient, { CreateOrUpdateTextBlocklistParameters, isUnexpected } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function createOrUpdateTextBlocklist() {
  const blocklistName = "TestBlocklist";
  const blocklistDescription = "Test blocklist management.";
  const createOrUpdateTextBlocklistParameters: CreateOrUpdateTextBlocklistParameters = {
    contentType: "application/merge-patch+json",
    body: {
      description: blocklistDescription,
    }
  }

  const result = await client.path("/text/blocklists/{blocklistName}", blocklistName).patch(createOrUpdateTextBlocklistParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Blocklist created or updated: Name", result.body.blocklistName, ", Description: ", result.body.description);
}

async function addBlockItems() {
  const blocklistName = "TestBlocklist";
  const blockItemText1 = "sample";
  const blockItemText2 = "text";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText1
        },
        {
          description: "Test block item 2",
          text: blockItemText2
        }
      ]
    }
  };

  const result = await client.path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName).post(addOrUpdateBlocklistItemsParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Block items added: ");
  if (result.body.blocklistItems) {
    for (const blockItem of result.body.blocklistItems) {
      console.log("BlockItemId: ", blockItem.blocklistItemId, ", Text: ", blockItem.text, ", Description: ", blockItem.description);
    }
  }
}

async function analyzeTextWithBlocklists() {
  const blocklistName = "TestBlocklist";
  const inputText = "This is a sample to test text with blocklist.";
  const analyzeTextParameters = {
    body: {
      text: inputText,
      blocklistNames: [blocklistName],
      haltOnBlocklistHit: false
    }
  };

  const result = await client.path("/text:analyze").post(analyzeTextParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Blocklist match results: ");
  if (result.body.blocklistsMatch) {
    for (const blocklistMatchResult of result.body.blocklistsMatch) {
      console.log("BlocklistName: ", blocklistMatchResult.blocklistName, ", BlockItemId: ", blocklistMatchResult.blocklistItemId, ", BlockItemText: ", blocklistMatchResult.blocklistItemText);
    }
  }
}

(async () => {
  await createOrUpdateTextBlocklist();
  await addBlockItems();
  await analyzeTextWithBlocklists();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function createOrUpdateTextBlocklist() {
  const blocklistName = "TestBlocklist";
  const blocklistDescription = "Test blocklist management.";
  const createOrUpdateTextBlocklistParameters = {
    contentType: "application/merge-patch+json",
    body: {
      description: blocklistDescription,
    },
  };

  const result = await client
    .path("/text/blocklists/{blocklistName}", blocklistName)
    .patch(createOrUpdateTextBlocklistParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log(
    "Blocklist created or updated: Name",
    result.body.blocklistName,
    ", Description: ",
    result.body.description
  );
}

async function addBlockItems() {
  const blocklistName = "TestBlocklist";
  const blockItemText1 = "sample";
  const blockItemText2 = "text";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText1,
        },
        {
          description: "Test block item 2",
          text: blockItemText2,
        },
      ],
    },
  };

  const result = await client
    .path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName)
    .post(addOrUpdateBlocklistItemsParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Block items added: ");
  if (result.body.blocklistItems) {
    for (const blockItem of result.body.blocklistItems) {
      console.log(
        "BlockItemId: ",
        blockItem.blocklistItemId,
        ", Text: ",
        blockItem.text,
        ", Description: ",
        blockItem.description
      );
    }
  }
}

async function analyzeTextWithBlocklists() {
  const blocklistName = "TestBlocklist";
  const inputText = "This is a sample to test text with blocklist.";
  const analyzeTextParameters = {
    body: {
      text: inputText,
      blocklistNames: [blocklistName],
      haltOnBlocklistHit: false,
    },
  };

  const result = await client.path("/text:analyze").post(analyzeTextParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Blocklist match results: ");
  if (result.body.blocklistsMatch) {
    for (const blocklistMatchResult of result.body.blocklistsMatch) {
      console.log(
        "BlocklistName: ",
        blocklistMatchResult.blocklistName,
        ", BlockItemId: ",
        blocklistMatchResult.blocklistItemId,
        ", BlockItemText: ",
        blocklistMatchResult.blocklistItemText
      );
    }
  }
}

(async () => {
  await createOrUpdateTextBlocklist();
  await addBlockItems();
  await analyzeTextWithBlocklists();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Menganalisis Gambar

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";
import fs from "fs";
import path from "path";

async function main() {
  const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
  const key = "<api_key>";

  const credential = new AzureKeyCredential(key);
  const client = ContentSafetyClient(endpoint, credential);

  const image_path = path.resolve(__dirname, "./samples-dev/example-data/image.png");

  const imageBuffer = fs.readFileSync(image_path);
  const base64Image = imageBuffer.toString("base64");
  const analyzeImageOption = { image: { content: base64Image } };
  const analyzeImageParameters = { body: analyzeImageOption };

  const result = await client.path("/image:analyze").post(analyzeImageParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  for (let i = 0; i < result.body.categoriesAnalysis.length; i++) {
    const imageCategoriesAnalysisOutput = result.body.categoriesAnalysis[i];
    console.log(imageCategoriesAnalysisOutput.category, " severity: ", imageCategoriesAnalysisOutput.severity)
  }
}

main().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");
const fs = require("fs");
const path = require("path");

async function main() {
  const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
  const key = "<api_key>";

  const credential = new AzureKeyCredential(key);
  const client = ContentSafetyClient(endpoint, credential);

  const image_path = path.resolve(__dirname, "./samples-dev/example-data/image.png");

  const imageBuffer = fs.readFileSync(image_path);
  const base64Image = imageBuffer.toString("base64");
  const analyzeImageOption = { image: { content: base64Image } };
  const analyzeImageParameters = { body: analyzeImageOption };

  const result = await client.path("/image:analyze").post(analyzeImageParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  for (let i = 0; i < result.body.categoriesAnalysis.length; i++) {
    const imageCategoriesAnalysisOutput = result.body.categoriesAnalysis[i];
    console.log(
      imageCategoriesAnalysisOutput.category,
      " severity: ",
      imageCategoriesAnalysisOutput.severity
    );
  }
}

main().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Mengelola daftar blokir teks

Membuat atau memperbarui daftar blokir teks

TypeScript

import ContentSafetyClient, { CreateOrUpdateTextBlocklistParameters, isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";
  
const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function createOrUpdateTextBlocklist() {
  const blocklistName = "TestBlocklist";
  const blocklistDescription = "Test blocklist management.";
  const createOrUpdateTextBlocklistParameters: CreateOrUpdateTextBlocklistParameters = {
    contentType: "application/merge-patch+json",
    body: {
      description: blocklistDescription,
    }
  }

  const result = await client.path("/text/blocklists/{blocklistName}", blocklistName).patch(createOrUpdateTextBlocklistParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Blocklist created or updated: Name", result.body.blocklistName, ", Description: ", result.body.description);
}

(async () => {
  await createOrUpdateTextBlocklist();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function createOrUpdateTextBlocklist() {
  const blocklistName = "TestBlocklist";
  const blocklistDescription = "Test blocklist management.";
  const createOrUpdateTextBlocklistParameters = {
    contentType: "application/merge-patch+json",
    body: {
      description: blocklistDescription,
    },
  };

  const result = await client
    .path("/text/blocklists/{blocklistName}", blocklistName)
    .patch(createOrUpdateTextBlocklistParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log(
    "Blocklist created or updated: Name",
    result.body.blocklistName,
    ", Description: ",
    result.body.description
  );
}

(async () => {
  await createOrUpdateTextBlocklist();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Daftar daftar blokir teks

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";
  
const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function listTextBlocklists() {
  const result = await client.path("/text/blocklists").get();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("List blocklists: ");
  if (result.body.value) {
    for (const blocklist of result.body.value) {
      console.log("BlocklistName: ", blocklist.blocklistName, ", Description: ", blocklist.description);
    }
  }
}

(async () => {
  await listTextBlocklists();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function listTextBlocklists() {
  const result = await client.path("/text/blocklists").get();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("List blocklists: ");
  if (result.body.value) {
    for (const blocklist of result.body.value) {
      console.log(
        "BlocklistName: ",
        blocklist.blocklistName,
        ", Description: ",
        blocklist.description
      );
    }
  }
}

(async () => {
  await listTextBlocklists();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Dapatkan daftar blokir teks

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function getTextBlocklist() {
  const blocklistName = "TestBlocklist";

  const result = await client.path("/text/blocklists/{blocklistName}", blocklistName).get();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Get blocklist: ");
  console.log("Name: ", result.body.blocklistName, ", Description: ", result.body.description);
}

(async () => {
  await getTextBlocklist();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function getTextBlocklist() {
  const blocklistName = "TestBlocklist";

  const result = await client.path("/text/blocklists/{blocklistName}", blocklistName).get();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Get blocklist: ");
  console.log("Name: ", result.body.blocklistName, ", Description: ", result.body.description);
}

(async () => {
  await getTextBlocklist();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Hapus daftar blokir teks

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function deleteBlocklist() {
  const blocklistName = "TestBlocklist";

  const result = await client.path("/text/blocklists/{blocklistName}", blocklistName).delete();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Deleted blocklist: ", blocklistName);
}

(async () => {
  await deleteBlocklist();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function deleteBlocklist() {
  const blocklistName = "TestBlocklist";

  const result = await client.path("/text/blocklists/{blocklistName}", blocklistName).delete();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Deleted blocklist: ", blocklistName);
}

(async () => {
  await deleteBlocklist();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Menambahkan blockItems

TypeScript

import ContentSafetyClient, { CreateOrUpdateTextBlocklistParameters, isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function createOrUpdateTextBlocklist() {
  const blocklistName = "TestBlocklist";
  const blocklistDescription = "Test blocklist management.";
  const createOrUpdateTextBlocklistParameters: CreateOrUpdateTextBlocklistParameters = {
    contentType: "application/merge-patch+json",
    body: {
      description: blocklistDescription,
    }
  }

  const result = await client.path("/text/blocklists/{blocklistName}", blocklistName).patch(createOrUpdateTextBlocklistParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Blocklist created or updated: Name", result.body.blocklistName, ", Description: ", result.body.description);
}

async function addBlockItems() {
  const blocklistName = "TestBlocklist";
  const blockItemText1 = "sample";
  const blockItemText2 = "text";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText1
        },
        {
          description: "Test block item 2",
          text: blockItemText2
        }
      ]
    }
  };

  const result = await client.path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName).post(addOrUpdateBlocklistItemsParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Block items added: ");
  if (result.body.blocklistItems) {
    for (const blockItem of result.body.blocklistItems) {
      console.log("BlockItemId: ", blockItem.blocklistItemId, ", Text: ", blockItem.text, ", Description: ", blockItem.description);
    }
  }
}

(async () => {
  await createOrUpdateTextBlocklist();
  await addBlockItems();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function createOrUpdateTextBlocklist() {
  const blocklistName = "TestBlocklist";
  const blocklistDescription = "Test blocklist management.";
  const createOrUpdateTextBlocklistParameters = {
    contentType: "application/merge-patch+json",
    body: {
      description: blocklistDescription,
    },
  };

  const result = await client
    .path("/text/blocklists/{blocklistName}", blocklistName)
    .patch(createOrUpdateTextBlocklistParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log(
    "Blocklist created or updated: Name",
    result.body.blocklistName,
    ", Description: ",
    result.body.description
  );
}

async function addBlockItems() {
  const blocklistName = "TestBlocklist";
  const blockItemText1 = "sample";
  const blockItemText2 = "text";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText1,
        },
        {
          description: "Test block item 2",
          text: blockItemText2,
        },
      ],
    },
  };

  const result = await client
    .path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName)
    .post(addOrUpdateBlocklistItemsParameters);

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("Block items added: ");
  if (result.body.blocklistItems) {
    for (const blockItem of result.body.blocklistItems) {
      console.log(
        "BlockItemId: ",
        blockItem.blocklistItemId,
        ", Text: ",
        blockItem.text,
        ", Description: ",
        blockItem.description
      );
    }
  }
}

(async () => {
  await createOrUpdateTextBlocklist();
  await addBlockItems();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Daftar blockItems

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function listBlockItems() {
  const blocklistName = "TestBlocklist";

  const result = await client.path("/text/blocklists/{blocklistName}/blocklistItems", blocklistName).get();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("List block items: ");
  if (result.body.value) {
    for (const blockItem of result.body.value) {
      console.log("BlockItemId: ", blockItem.blocklistItemId, ", Text: ", blockItem.text, ", Description: ", blockItem.description);
    }
  }
}

(async () => {
  await listBlockItems();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function listBlockItems() {
  const blocklistName = "TestBlocklist";

  const result = await client
    .path("/text/blocklists/{blocklistName}/blocklistItems", blocklistName)
    .get();

  if (isUnexpected(result)) {
    throw result;
  }

  console.log("List block items: ");
  if (result.body.value) {
    for (const blockItem of result.body.value) {
      console.log(
        "BlockItemId: ",
        blockItem.blocklistItemId,
        ", Text: ",
        blockItem.text,
        ", Description: ",
        blockItem.description
      );
    }
  }
}

(async () => {
  await listBlockItems();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Dapatkan blockItem

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function getBlockItem() {
  const blocklistName = "TestBlocklist";
  const blockItemText = "sample";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText
        }
      ]
    }
  };
  const result = await client.path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName).post(addOrUpdateBlocklistItemsParameters);
  if (isUnexpected(result) || result.body.blocklistItems === undefined) {
    throw new Error("Block item not added.");
  }
  const blockItemId = result.body.blocklistItems[0].blocklistItemId;

  const blockItem = await client.path("/text/blocklists/{blocklistName}/blocklistItems/{blocklistItemId}", blocklistName, blockItemId).get();

  if (isUnexpected(blockItem)) {
    throw blockItem;
  }

  console.log("Get blockitem: ");
  console.log("BlockItemId: ", blockItem.body.blocklistItemId, ", Text: ", blockItem.body.text, ", Description: ", blockItem.body.description);
}

(async () => {
  await getBlockItem();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function getBlockItem() {
  const blocklistName = "TestBlocklist";
  const blockItemText = "sample";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText,
        },
      ],
    },
  };
  const result = await client
    .path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName)
    .post(addOrUpdateBlocklistItemsParameters);
  if (isUnexpected(result) || result.body.blocklistItems === undefined) {
    throw new Error("Block item not added.");
  }
  const blockItemId = result.body.blocklistItems[0].blocklistItemId;

  const blockItem = await client
    .path(
      "/text/blocklists/{blocklistName}/blocklistItems/{blocklistItemId}",
      blocklistName,
      blockItemId
    )
    .get();

  if (isUnexpected(blockItem)) {
    throw blockItem;
  }

  console.log("Get blockitem: ");
  console.log(
    "BlockItemId: ",
    blockItem.body.blocklistItemId,
    ", Text: ",
    blockItem.body.text,
    ", Description: ",
    blockItem.body.description
  );
}

(async () => {
  await getBlockItem();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Menghapus blockItems

TypeScript

import ContentSafetyClient, { isUnexpected  } from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function removeBlockItems() {
  const blocklistName = "TestBlocklist";
  const blockItemText = "sample";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText
        }
      ]
    }
  };
  const result = await client.path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName).post(addOrUpdateBlocklistItemsParameters);
  if (isUnexpected(result) || result.body.blocklistItems === undefined) {
    throw new Error("Block item not added.");
  }
  const blockItemId = result.body.blocklistItems[0].blocklistItemId;

  const removeBlocklistItemsParameters = {
    body: {
      blocklistItemIds: [blockItemId]
    }
  };
  const removeBlockItem = await client.path("/text/blocklists/{blocklistName}:removeBlocklistItems", blocklistName).post(removeBlocklistItemsParameters);

  if (isUnexpected(removeBlockItem)) {
    throw removeBlockItem;
  }

  console.log("Removed blockItem: ", blockItemText);
}

(async () => {
  await removeBlockItems();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

JavaScript

const ContentSafetyClient = require("@azure-rest/ai-content-safety").default,
  { isUnexpected } = require("@azure-rest/ai-content-safety");
const { AzureKeyCredential } = require("@azure/core-auth");

const endpoint = "https://<my-custom-subdomain>.cognitiveservices.azure.com/";
const key = "<api_key>";

const credential = new AzureKeyCredential(key);
const client = ContentSafetyClient(endpoint, credential);

async function removeBlockItems() {
  const blocklistName = "TestBlocklist";
  const blockItemText = "sample";
  const addOrUpdateBlocklistItemsParameters = {
    body: {
      blocklistItems: [
        {
          description: "Test block item 1",
          text: blockItemText,
        },
      ],
    },
  };
  const result = await client
    .path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", blocklistName)
    .post(addOrUpdateBlocklistItemsParameters);
  if (isUnexpected(result) || result.body.blocklistItems === undefined) {
    throw new Error("Block item not added.");
  }
  const blockItemId = result.body.blocklistItems[0].blocklistItemId;

  const removeBlocklistItemsParameters = {
    body: {
      blocklistItemIds: [blockItemId],
    },
  };
  const removeBlockItem = await client
    .path("/text/blocklists/{blocklistName}:removeBlocklistItems", blocklistName)
    .post(removeBlocklistItemsParameters);

  if (isUnexpected(removeBlockItem)) {
    throw removeBlockItem;
  }

  console.log("Removed blockItem: ", blockItemText);
}

(async () => {
  await removeBlockItems();
})().catch((err) => {
  console.error("The sample encountered an error:", err);
});

Pemecahan Masalah

Pencatatan

Mengaktifkan pengelogan dapat membantu menemukan informasi yang berguna tentang kegagalan. Untuk melihat log permintaan dan respons HTTP, atur variabel lingkungan AZURE_LOG_LEVEL ke info. Atau, pengelogan dapat diaktifkan saat runtime dengan memanggil setLogLevel di @azure/logger:

const { setLogLevel } = require("@azure/logger");

setLogLevel("info");

Untuk instruksi lebih rinci tentang cara mengaktifkan log, Anda dapat melihat dokumen paket @azure/pencatat.

Langkah berikutnya

Dokumentasi tambahan

Untuk dokumentasi yang lebih luas tentang Azure Content Safety, lihat Keamanan Konten Azure AI di docs.microsoft.com.

Berkontribusi

Jika Anda ingin berkontribusi pada pustaka ini, baca panduan berkontribusi untuk mempelajari selengkapnya tentang cara membuat dan menguji kode.

Bagikan melalui

Keamanan Konten Azure AI pustaka klien REST untuk JavaScript - versi 1.0.0

Memulai

Lingkungan yang didukung saat ini

Prasyarat

Pasang paket `@azure-rest/ai-content-safety`

Membuat dan mengautentikasi `ContentSafetyClient`

Mendapatkan titik akhir

Membuat ContentSafetyClient dengan AzureKeyCredential

Membuat ContentSafetyClient dengan kredensial token ID Microsoft Entra (sebelumnya Azure Active Directory (AAD))

Konsep utama

Fitur yang tersedia

Kategori bahaya

Tingkat keparahan

Manajemen daftar blokir teks

Contoh

Analisa teks

Menganalisis teks tanpa daftar blokir

Menganalisis teks dengan daftar blokir

Menganalisis Gambar

Mengelola daftar blokir teks

Membuat atau memperbarui daftar blokir teks

Daftar daftar blokir teks

Dapatkan daftar blokir teks

Hapus daftar blokir teks

Menambahkan blockItems

Daftar blockItems

Dapatkan blockItem

Menghapus blockItems

Pemecahan Masalah

Pencatatan

Langkah berikutnya

Dokumentasi tambahan

Berkontribusi

Saran dan Komentar

Sumber Daya Tambahan:

Bagikan melalui

Keamanan Konten Azure AI pustaka klien REST untuk JavaScript - versi 1.0.0

Memulai

Lingkungan yang didukung saat ini

Prasyarat

Pasang paket @azure-rest/ai-content-safety

Membuat dan mengautentikasi ContentSafetyClient

Mendapatkan titik akhir

Membuat ContentSafetyClient dengan AzureKeyCredential

Membuat ContentSafetyClient dengan kredensial token ID Microsoft Entra (sebelumnya Azure Active Directory (AAD))

Konsep utama

Fitur yang tersedia

Kategori bahaya

Tingkat keparahan

Manajemen daftar blokir teks

Contoh

Analisa teks

Menganalisis teks tanpa daftar blokir

Menganalisis teks dengan daftar blokir

Menganalisis Gambar

Mengelola daftar blokir teks

Membuat atau memperbarui daftar blokir teks

Daftar daftar blokir teks

Dapatkan daftar blokir teks

Hapus daftar blokir teks

Menambahkan blockItems

Daftar blockItems

Dapatkan blockItem

Menghapus blockItems

Pemecahan Masalah

Pencatatan

Langkah berikutnya

Dokumentasi tambahan

Berkontribusi

Saran dan Komentar

Sumber Daya Tambahan:

Pasang paket `@azure-rest/ai-content-safety`

Membuat dan mengautentikasi `ContentSafetyClient`