def get_service_config()

in src/co_op_translator/config/llm_config/config.py [0:0]

• 25 lines of code
• 3 McCabe index (conditional complexity)

    def get_service_config(cls, provider: LLMProvider) -> LLMServiceConfig:
        """
        Build env_vars for each provider, validate them, and return LLMServiceConfig if valid.
        """
        if provider == LLMProvider.AZURE_OPENAI:
            azure_config = AzureOpenAIConfig()
            env_vars = {
                "AZURE_OPENAI_API_KEY": azure_config.get_api_key(),
                "AZURE_OPENAI_ENDPOINT": azure_config.get_endpoint(),
                "AZURE_OPENAI_MODEL_NAME": azure_config.get_model_name(),
                "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": azure_config.get_chat_deployment_name(),
                "AZURE_OPENAI_API_VERSION": azure_config.get_api_version(),
            }
            cls.validate_env_vars(env_vars, provider)
            return LLMServiceConfig(required=True, env_vars=env_vars)

        elif provider == LLMProvider.OPENAI:
            openai_config = OpenAIConfig()
            env_vars = {
                "OPENAI_API_KEY": openai_config.get_api_key(),
                "OPENAI_ORG_ID": openai_config.get_org_id(),
                "OPENAI_CHAT_MODEL_ID": openai_config.get_chat_model_id(),
            }
            cls.validate_env_vars(env_vars, provider)
            return LLMServiceConfig(required=False, env_vars=env_vars)

        else:
            raise ValueError(
                f"Unknown LLM provider: {provider}. Expected one of: {[e.name for e in LLMProvider]}"
            )