remove vertexai safety settings

autogen/oai/gemini.py

@@ -32,7 +32,6 @@
 from __future__ import annotations
 
 import base64
-import logging
 import os
 import random
 import re
@@ -44,7 +43,6 @@
 import google.generativeai as genai
 import requests
 import vertexai
-from flaml.automl.logger import logger_formatter
 from google.ai.generativelanguage import Content, Part
 from google.api_core.exceptions import InternalServerError
 from openai.types.chat import ChatCompletion
@@ -53,12 +51,7 @@
 from PIL import Image
 from vertexai.generative_models import Content as VertexAIContent
 from vertexai.generative_models import GenerativeModel
-from vertexai.generative_models import HarmBlockThreshold as VertexAIHarmBlockThreshold
-from vertexai.generative_models import HarmCategory as VertexAIHarmCategory
 from vertexai.generative_models import Part as VertexAIPart
-from vertexai.generative_models import SafetySetting as VertexAISafetySetting
-
-logger = logging.getLogger(__name__)
 
 
 class GeminiClient:
@@ -173,7 +166,6 @@ def create(self, params: Dict) -> ChatCompletion:
             if autogen_term in params
         }
         safety_settings = params.get("safety_settings", {})
-        vertexai_safety_settings = GeminiClient._to_vertexai_safety_settings(safety_settings)
 
         if stream:
             warnings.warn(
@@ -189,7 +181,7 @@ def create(self, params: Dict) -> ChatCompletion:
             gemini_messages = self._oai_messages_to_gemini_messages(messages)
             if self.use_vertexai:
                 model = GenerativeModel(
-                    model_name, generation_config=generation_config, safety_settings=vertexai_safety_settings
+                    model_name, generation_config=generation_config, safety_settings=safety_settings
                 )
             else:
                 # we use chat model by default
@@ -226,7 +218,7 @@ def create(self, params: Dict) -> ChatCompletion:
             # B. handle the vision model
             if self.use_vertexai:
                 model = GenerativeModel(
-                    model_name, generation_config=generation_config, safety_settings=vertexai_safety_settings
+                    model_name, generation_config=generation_config, safety_settings=safety_settings
                 )
             else:
                 model = genai.GenerativeModel(
@@ -380,24 +372,6 @@ def _oai_messages_to_gemini_messages(self, messages: list[Dict[str, Any]]) -> li
 
         return rst
 
-    @staticmethod
-    def _to_vertexai_safety_settings(safety_settings):
-        vertexai_safety_settings = []
-        for safety_setting in safety_settings:
-            if safety_setting["category"] not in VertexAIHarmCategory.__members__:
-                invalid_category = safety_setting["category"]
-                logger.error(f"Safety setting category {invalid_category} is invalid")
-            elif safety_setting["threshold"] not in VertexAIHarmBlockThreshold.__members__:
-                invalid_threshold = safety_setting["threshold"]
-                logger.error(f"Safety threshold {invalid_threshold} is invalid")
-            else:
-                vertexai_safety_setting = VertexAISafetySetting(
-                    category=safety_setting["category"],
-                    threshold=safety_setting["threshold"],
-                )
-                vertexai_safety_settings.append(vertexai_safety_setting)
-        return vertexai_safety_settings
-
 
 def _to_pil(data: str) -> Image.Image:
     """

test/oai/test_gemini.py

@@ -4,9 +4,6 @@
 
 try:
     from google.api_core.exceptions import InternalServerError
-    from vertexai.generative_models import HarmBlockThreshold as VertexAIHarmBlockThreshold
-    from vertexai.generative_models import HarmCategory as VertexAIHarmCategory
-    from vertexai.generative_models import SafetySetting as VertexAISafetySetting
 
     from autogen.oai.gemini import GeminiClient
 
@@ -55,38 +52,6 @@ def test_valid_initialization(gemini_client):
     assert gemini_client.api_key == "fake_api_key", "API Key should be correctly set"
 
 
-@pytest.mark.skipif(skip, reason="Google GenAI dependency is not installed")
-def test_vertexai_safety_setting_conversion(gemini_client):
-    safety_settings = [
-        {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_ONLY_HIGH"},
-        {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_ONLY_HIGH"},
-        {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_ONLY_HIGH"},
-        {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_ONLY_HIGH"},
-    ]
-    converted_safety_settings = GeminiClient._to_vertexai_safety_settings(safety_settings)
-    harm_categories = [
-        VertexAIHarmCategory.HARM_CATEGORY_HARASSMENT,
-        VertexAIHarmCategory.HARM_CATEGORY_HATE_SPEECH,
-        VertexAIHarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT,
-        VertexAIHarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
-    ]
-    expected_safety_settings = [
-        VertexAISafetySetting(category=category, threshold=VertexAIHarmBlockThreshold.BLOCK_ONLY_HIGH)
-        for category in harm_categories
-    ]
-
-    def compare_safety_settings(converted_safety_settings, expected_safety_settings):
-        for i, expected_setting in enumerate(expected_safety_settings):
-            converted_setting = converted_safety_settings[i]
-            yield expected_setting.to_dict() == converted_setting.to_dict()
-
-    assert len(converted_safety_settings) == len(
-        expected_safety_settings
-    ), "The length of the safety settings is incorrect"
-    settings_comparison = compare_safety_settings(converted_safety_settings, expected_safety_settings)
-    assert all(settings_comparison), "Converted safety settings are incorrect"
-
-
 @pytest.mark.skipif(skip, reason="Google GenAI dependency is not installed")
 def test_gemini_message_handling(gemini_client):
     messages = [