def __init__()

in generators/backend/templates/src/backend/patterns/debate.py [0:0]

• 36 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self):
        """
        Creates the DebateOrchestrator with necessary services and kernel configurations.
        
        Sets up Azure OpenAI connections for both executor and utility models, 
        configures Semantic Kernel, and prepares execution settings for the agents.
        """
        
        self.logger = logging.getLogger(__name__)
        self.logger.setLevel(logging.INFO)
        self.logger.info("Semantic Orchestrator Handler init")

        self.logger.info("Creating - %s", os.getenv("AZURE_OPENAI_DEPLOYMENT_NAME"))

        endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
        api_version = os.getenv("AZURE_OPENAI_API_VERSION")
        executor_deployment_name = os.getenv("EXECUTOR_AZURE_OPENAI_DEPLOYMENT_NAME")
        utility_deployment_name = os.getenv("UTILITY_AZURE_OPENAI_DEPLOYMENT_NAME")
        
        credential = DefaultAzureCredential()
        
        # Multi model setup - a service is an LLM in SK terms
        # Executor - gpt-4o 
        # Utility  - gpt-4o-mini
        executor_service = AzureAIInferenceChatCompletion(
            ai_model_id="executor",
            service_id="executor",
            client=ChatCompletionsClient(
                endpoint=f"{str(endpoint).strip('/')}/openai/deployments/{executor_deployment_name}",
                api_version=api_version,
                credential=credential,
                credential_scopes=["https://cognitiveservices.azure.com/.default"],
            ))
        
        utility_service = AzureAIInferenceChatCompletion(
            ai_model_id="utility",
            service_id="utility",
            client=ChatCompletionsClient(
                endpoint=f"{str(endpoint).strip('/')}/openai/deployments/{utility_deployment_name}",
                api_version=api_version,
                credential=credential,
                credential_scopes=["https://cognitiveservices.azure.com/.default"],
            ))
        
        self.kernel = Kernel(
            services=[executor_service, utility_service],
            plugins=[
                KernelPlugin.from_object(plugin_instance=TimePlugin(), plugin_name="time")
            ])
        
        self.settings_executor = AzureChatPromptExecutionSettings(service_id="executor", temperature=0)
        self.settings_utility = AzureChatPromptExecutionSettings(service_id="utility", temperature=0)
        
        self.resourceGroup = os.getenv("AZURE_RESOURCE_GROUP")