def _load_litellm_model()

in backend.py [0:0]

• 40 lines of code
• 6 McCabe index (conditional complexity)

    def _load_litellm_model(self):
        prefs = bpy.context.preferences.addons[__package__].preferences
        kwargs = {}
        if prefs.llm_provider == "ollama":
            model_id = f"ollama_chat/{prefs.ollama_model_name}"
            api_base = prefs.ollama_endpoint
            api_key = prefs.ollama_api_key or None
            kwargs["num_ctx"] = prefs.context_length
        elif prefs.llm_provider == "anthropic":
            model_id = f"anthropic/{prefs.anthropic_model_id}"
            api_base = None
            api_key = prefs.anthropic_api_key
        elif prefs.llm_provider == "openai":
            model_id = prefs.openai_model_id
            api_base = None
            api_key = prefs.openai_api_key
        else:
            raise ValueError(f"Unknown provider: {prefs.llm_provider}")

        self.model = LiteLLMModel(
            model_id=model_id,
            api_base=api_base,
            api_key=api_key,
            **kwargs,
        )
        try:
            input_messages = [
                {
                    "role": "user",
                    "content": [
                        {
                            "type": "text",
                            "text": "Hello, world!",
                        }
                    ],
                }
            ]
            self.model(input_messages)
        except Exception as e:
            self.model = None
            raise e