python/safety_settings.py (53 lines of code) (raw):

# -*- coding: utf-8 -*- # Copyright 2025 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from absl.testing import absltest class UnitTests(absltest.TestCase): def test_safety_settings(self): # [START safety_settings] from google import genai from google.genai import types client = genai.Client() unsafe_prompt = ( "I support Martians Soccer Club and I think Jupiterians Football Club sucks! " "Write a ironic phrase about them including expletives." ) # Set safety_settings for a single category using a list of SafetySetting. response = client.models.generate_content( model="gemini-2.0-flash", contents=unsafe_prompt, config=types.GenerateContentConfig( safety_settings=[ types.SafetySetting( category="HARM_CATEGORY_HARASSMENT", threshold="BLOCK_ONLY_HIGH" ) ] ), ) print(response.candidates[0].finish_reason) print(response.candidates[0].safety_ratings) # [END safety_settings] def test_safety_settings_multi(self): # [START safety_settings_multi] from google import genai from google.genai import types client = genai.Client() unsafe_prompt = ( "I support Martians Soccer Club and I think Jupiterians Football Club sucks! " "Write a ironic phrase about them including expletives." ) response = client.models.generate_content( model="gemini-2.0-flash", contents=unsafe_prompt, config=types.GenerateContentConfig( safety_settings=[ types.SafetySetting( category="HARM_CATEGORY_HATE_SPEECH", threshold="BLOCK_MEDIUM_AND_ABOVE", ), types.SafetySetting( category="HARM_CATEGORY_HARASSMENT", threshold="BLOCK_ONLY_HIGH" ), ] ), ) try: print(response.text) except Exception: print("No information generated by the model.") print(response.candidates[0].safety_ratings) # [END safety_settings_multi] if __name__ == "__main__": absltest.main()