What is the Gemini API's approach to safety and content moderation?

Gemini models include built-in safety filters that evaluate both input prompts and output content across four harm categories. Developers can configure the threshold at which content is blocked, balancing safety with utility for their specific application context.

from google import genai
from google.genai import types

client = genai.Client()

# Configure safety thresholds:
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Your prompt here",
    config=types.GenerateContentConfig(
        safety_settings=[
            types.SafetySetting(
                category="HARM_CATEGORY_DANGEROUS_CONTENT",
                threshold="BLOCK_ONLY_HIGH",  # options below
            ),
            types.SafetySetting(
                category="HARM_CATEGORY_HARASSMENT",
                threshold="BLOCK_MEDIUM_AND_ABOVE",
            ),
        ]
    )
)

# Check safety ratings on the response:
for rating in response.candidates[0].safety_ratings:
    print(f"{rating.category}: {rating.probability}")

# Check if response was blocked:
if response.prompt_feedback.block_reason:
    print(f"Blocked: {response.prompt_feedback.block_reason}")

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