Membuat teks dengan setelan keamanan

Contoh ini menunjukkan cara menggunakan model Gemini dengan setelan keamanan untuk membuat teks.

Mempelajari lebih lanjut

Untuk dokumentasi mendetail yang menyertakan contoh kode ini, lihat artikel berikut:

Contoh kode

Python

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Python di Panduan memulai Vertex AI menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API Python Vertex AI.

Untuk melakukan autentikasi ke Vertex AI, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal. 

from google import genai
from google.genai.types import (
    GenerateContentConfig,
    HarmCategory,
    HarmBlockThreshold,
    HttpOptions,
    SafetySetting,
)

client = genai.Client(http_options=HttpOptions(api_version="v1"))

system_instruction = "Be as mean as possible."

prompt = """
    Write a list of 5 disrespectful things that I might say to the universe after stubbing my toe in the dark.
"""

safety_settings = [
    SafetySetting(
        category=HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
        threshold=HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    ),
    SafetySetting(
        category=HarmCategory.HARM_CATEGORY_HARASSMENT,
        threshold=HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    ),
    SafetySetting(
        category=HarmCategory.HARM_CATEGORY_HATE_SPEECH,
        threshold=HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    ),
    SafetySetting(
        category=HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT,
        threshold=HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    ),
]

response = client.models.generate_content(
    model="gemini-2.0-flash-001",
    contents=prompt,
    config=GenerateContentConfig(
        system_instruction=system_instruction,
        safety_settings=safety_settings,
    ),
)

# Response will be `None` if it is blocked.
print(response.text)
# Finish Reason will be `SAFETY` if it is blocked.
print(response.candidates[0].finish_reason)
# Safety Ratings show the levels for each filter.
for safety_rating in response.candidates[0].safety_ratings:
    print(safety_rating)

# Example response:
# None
# FinishReason.SAFETY
# blocked=None category=<HarmCategory.HARM_CATEGORY_HATE_SPEECH: 'HARM_CATEGORY_HATE_SPEECH'> probability=<HarmProbability.NEGLIGIBLE: 'NEGLIGIBLE'> probability_score=1.767152e-05 severity=<HarmSeverity.HARM_SEVERITY_NEGLIGIBLE: 'HARM_SEVERITY_NEGLIGIBLE'> severity_score=None
# blocked=None category=<HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: 'HARM_CATEGORY_DANGEROUS_CONTENT'> probability=<HarmProbability.NEGLIGIBLE: 'NEGLIGIBLE'> probability_score=2.399503e-06 severity=<HarmSeverity.HARM_SEVERITY_NEGLIGIBLE: 'HARM_SEVERITY_NEGLIGIBLE'> severity_score=0.061250776
# blocked=True category=<HarmCategory.HARM_CATEGORY_HARASSMENT: 'HARM_CATEGORY_HARASSMENT'> probability=<HarmProbability.MEDIUM: 'MEDIUM'> probability_score=0.64129734 severity=<HarmSeverity.HARM_SEVERITY_MEDIUM: 'HARM_SEVERITY_MEDIUM'> severity_score=0.2686556
# blocked=None category=<HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: 'HARM_CATEGORY_SEXUALLY_EXPLICIT'> probability=<HarmProbability.NEGLIGIBLE: 'NEGLIGIBLE'> probability_score=5.2786977e-06 severity=<HarmSeverity.HARM_SEVERITY_NEGLIGIBLE: 'HARM_SEVERITY_NEGLIGIBLE'> severity_score=0.043162167

Langkah berikutnya

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