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Azure ai content safety (python)
/SKILLSDK Azure AI Content Safety pour Python. Permet de détecter les contenus préjudiciables dans les textes et les images grâce à une classification à plu
// contenu du skill
name: azure-ai-contentsafety-py
description: Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
risk: unknown
source: community
date_added: '2026-02-27'
Azure AI Content Safety SDK for Python
Detect harmful user-generated and AI-generated content in applications.
Installation
bash
pip install azure-ai-contentsafetyEnvironment Variables
bash
CONTENT_SAFETY_ENDPOINT=https://<resource>.cognitiveservices.azure.com
CONTENT_SAFETY_KEY=<your-api-key>Authentication
API Key
python
from azure.ai.contentsafety import ContentSafetyClient
from azure.core.credentials import AzureKeyCredential
import os
client = ContentSafetyClient(
endpoint=os.environ["CONTENT_SAFETY_ENDPOINT"],
credential=AzureKeyCredential(os.environ["CONTENT_SAFETY_KEY"])
)Entra ID
python
from azure.ai.contentsafety import ContentSafetyClient
from azure.identity import DefaultAzureCredential
client = ContentSafetyClient(
endpoint=os.environ["CONTENT_SAFETY_ENDPOINT"],
credential=DefaultAzureCredential()
)Analyze Text
python
from azure.ai.contentsafety import ContentSafetyClient
from azure.ai.contentsafety.models import AnalyzeTextOptions, TextCategory
from azure.core.credentials import AzureKeyCredential
client = ContentSafetyClient(endpoint, AzureKeyCredential(key))
request = AnalyzeTextOptions(text="Your text content to analyze")
response = client.analyze_text(request)
# Check each category
for category in [TextCategory.HATE, TextCategory.SELF_HARM,
TextCategory.SEXUAL, TextCategory.VIOLENCE]:
result = next((r for r in response.categories_analysis
if r.category == category), None)
if result:
print(f"{category}: severity {result.severity}")Analyze Image
python
from azure.ai.contentsafety import ContentSafetyClient
from azure.ai.contentsafety.models import AnalyzeImageOptions, ImageData
from azure.core.credentials import AzureKeyCredential
import base64
client = ContentSafetyClient(endpoint, AzureKeyCredential(key))
# From file
with open("image.jpg", "rb") as f:
image_data = base64.b64encode(f.read()).decode("utf-8")
request = AnalyzeImageOptions(
image=ImageData(content=image_data)
)
response = client.analyze_image(request)
for result in response.categories_analysis:
print(f"{result.category}: severity {result.severity}")Image from URL
python
from azure.ai.contentsafety.models import AnalyzeImageOptions, ImageData
request = AnalyzeImageOptions(
image=ImageData(blob_url="https://example.com/image.jpg")
)
response = client.analyze_image(request)Text Blocklist Management
Create Blocklist
python
from azure.ai.contentsafety import BlocklistClient
from azure.ai.contentsafety.models import TextBlocklist
from azure.core.credentials import AzureKeyCredential
blocklist_client = BlocklistClient(endpoint, AzureKeyCredential(key))
blocklist = TextBlocklist(
blocklist_name="my-blocklist",
description="Custom terms to block"
)
result = blocklist_client.create_or_update_text_blocklist(
blocklist_name="my-blocklist",
options=blocklist
)Add Block Items
python
from azure.ai.contentsafety.models import AddOrUpdateTextBlocklistItemsOptions, TextBlocklistItem
items = AddOrUpdateTextBlocklistItemsOptions(
blocklist_items=[
TextBlocklistItem(text="blocked-term-1"),
TextBlocklistItem(text="blocked-term-2")
]
)
result = blocklist_client.add_or_update_blocklist_items(
blocklist_name="my-blocklist",
options=items
)Analyze with Blocklist
python
from azure.ai.contentsafety.models import AnalyzeTextOptions
request = AnalyzeTextOptions(
text="Text containing blocked-term-1",
blocklist_names=["my-blocklist"],
halt_on_blocklist_hit=True
)
response = client.analyze_text(request)
if response.blocklists_match:
for match in response.blocklists_match:
print(f"Blocked: {match.blocklist_item_text}")Severity Levels
Text analysis returns 4 severity levels (0, 2, 4, 6) by default. For 8 levels (0-7):
python
from azure.ai.contentsafety.models import AnalyzeTextOptions, AnalyzeTextOutputType
request = AnalyzeTextOptions(
text="Your text",
output_type=AnalyzeTextOutputType.EIGHT_SEVERITY_LEVELS
)Harm Categories
| Category | Description |
|---|---|
Hate | Attacks based on identity (race, religion, gender, etc.) |
Sexual | Sexual content, relationships, anatomy |
Violence | Physical harm, weapons, injury |
SelfHarm | Self-injury, suicide, eating disorders |
Severity Scale
| Level | Text Range | Image Range | Meaning |
|---|---|---|---|
| 0 | Safe | Safe | No harmful content |
| 2 | Low | Low | Mild references |
| 4 | Medium | Medium | Moderate content |
| 6 | High | High | Severe content |
Client
// source originale publique
sickn33/antigravity-awesome-skills/skills/azure-ai-contentsafety-py/SKILL.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
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