def parse_arguments()

in src/smolagents/cli.py [0:0]

• 57 lines of code
• 2 McCabe index (conditional complexity)

def parse_arguments():
    parser = argparse.ArgumentParser(description="Run a CodeAgent with all specified parameters")
    parser.add_argument(
        "prompt",
        type=str,
        nargs="?",  # Makes it optional
        default=leopard_prompt,
        help="The prompt to run with the agent",
    )
    parser.add_argument(
        "--model-type",
        type=str,
        default="InferenceClientModel",
        help="The model type to use (e.g., InferenceClientModel, OpenAIServerModel, LiteLLMModel, TransformersModel)",
    )
    parser.add_argument(
        "--model-id",
        type=str,
        default="Qwen/Qwen2.5-Coder-32B-Instruct",
        help="The model ID to use for the specified model type",
    )
    parser.add_argument(
        "--imports",
        nargs="*",  # accepts zero or more arguments
        default=[],
        help="Space-separated list of imports to authorize (e.g., 'numpy pandas')",
    )
    parser.add_argument(
        "--tools",
        nargs="*",
        default=["web_search"],
        help="Space-separated list of tools that the agent can use (e.g., 'tool1 tool2 tool3')",
    )
    parser.add_argument(
        "--verbosity-level",
        type=int,
        default=1,
        help="The verbosity level, as an int in [0, 1, 2].",
    )
    group = parser.add_argument_group("api options", "Options for API-based model types")
    group.add_argument(
        "--provider",
        type=str,
        default=None,
        help="The inference provider to use for the model",
    )
    group.add_argument(
        "--api-base",
        type=str,
        help="The base URL for the model",
    )
    group.add_argument(
        "--api-key",
        type=str,
        help="The API key for the model",
    )
    return parser.parse_args()