def create_model_config()

in yourbench/main.py [0:0]

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

def create_model_config(existing_models: list[str]) -> dict:
    """Interactive model configuration with smart provider logic."""
    console.print("\n[bold cyan]Model Configuration[/bold cyan]")

    model_name = Prompt.ask("Model name", default="Qwen/Qwen3-30B-A3B")

    # Provider type selection
    console.print("\nSelect inference type:")
    console.print("1. Hugging Face Inference (default)")
    console.print("2. OpenAI Compatible API (vLLM, etc.)")
    console.print("3. OpenAI API")
    console.print("4. Google Gemini API")
    console.print("5. Custom API endpoint")

    choice = IntPrompt.ask("Choice", default=1)

    config = {"model_name": model_name}
    api_keys_to_env = {}

    if choice == 1:  # Hugging Face
        # Only for HF, ask about provider
        if Confirm.ask("Use a specific provider?", default=False):
            console.print("\nAvailable providers:")
            console.print("- fireworks-ai")
            console.print("- together-ai")
            console.print("- deepinfra")
            console.print("- huggingface (default)")
            provider = Prompt.ask("Provider", default="huggingface")
            if provider != "huggingface":
                config["provider"] = provider

    elif choice == 2:  # OpenAI Compatible
        config["base_url"] = Prompt.ask("Base URL", default="http://localhost:8000/v1")
        while True:
            api_key = Prompt.ask("API key (use $VAR for env variables)", default="$VLLM_API_KEY")
            valid, msg = validate_api_key_format(api_key)
            if valid:
                config["api_key"] = api_key
                if api_key.startswith("$"):
                    api_keys_to_env[api_key[1:]] = "your-vllm-api-key-here"
                break
            else:
                console.print(f"[red]Error: {msg}[/red]")

    elif choice == 3:  # OpenAI
        config["base_url"] = "https://api.openai.com/v1"
        config["model_name"] = Prompt.ask("Model name", default="gpt-4")
        while True:
            api_key = Prompt.ask("API key (use $VAR for env variables)", default="$OPENAI_API_KEY")
            valid, msg = validate_api_key_format(api_key)
            if valid:
                config["api_key"] = api_key
                if api_key.startswith("$"):
                    api_keys_to_env[api_key[1:]] = "sk-..."
                break
            else:
                console.print(f"[red]Error: {msg}[/red]")

    elif choice == 4:  # Gemini
        config["base_url"] = "https://generativelanguage.googleapis.com/v1beta/openai/"
        config["model_name"] = Prompt.ask("Model name", default="gemini-2.5-flash-preview")
        while True:
            api_key = Prompt.ask("API key (use $VAR for env variables)", default="$GEMINI_API_KEY")
            valid, msg = validate_api_key_format(api_key)
            if valid:
                config["api_key"] = api_key
                if api_key.startswith("$"):
                    api_keys_to_env[api_key[1:]] = "your-gemini-api-key-here"
                break
            else:
                console.print(f"[red]Error: {msg}[/red]")

    else:  # Custom
        config["base_url"] = Prompt.ask("Base URL")
        while True:
            api_key = Prompt.ask("API key (use $VAR for env variables)", default="$API_KEY")
            valid, msg = validate_api_key_format(api_key)
            if valid:
                config["api_key"] = api_key
                if api_key.startswith("$"):
                    api_keys_to_env[api_key[1:]] = "your-api-key-here"
                break
            else:
                console.print(f"[red]Error: {msg}[/red]")

    # Write API keys to .env if needed
    if api_keys_to_env:
        write_env_file(api_keys_to_env)

    # Advanced options
    if Confirm.ask("\nConfigure advanced options?", default=False):
        config["max_concurrent_requests"] = IntPrompt.ask(
            "Max concurrent requests", default=DEFAULT_CONCURRENT_REQUESTS_HF
        )
        if Confirm.ask("Use custom tokenizer?", default=False):
            config["encoding_name"] = Prompt.ask("Encoding name", default="cl100k_base")
    else:
        config["max_concurrent_requests"] = (
            DEFAULT_CONCURRENT_REQUESTS_HF if choice == 1 else DEFAULT_CONCURRENT_REQUESTS_API
        )

    return config