"""Command builders for vLLM and SGLang backends.""" from __future__ import annotations import jsonfrom typing import List from .config import settingsfrom .models import Recipe  def build_vllm_command(recipe: Recipe) -> List[str]:    """Build vLLM launch command."""    if recipe.python_path:        cmd = [recipe.python_path, "-m", "vllm.entrypoints.openai.api_server"]    else:        cmd = ["vllm", "serve"]     cmd.extend([recipe.model_path, "--host", recipe.host, "--port", str(recipe.port)])     if recipe.served_model_name:        cmd.extend(["--served-model-name", recipe.served_model_name])    if recipe.tensor_parallel_size > 1:        cmd.extend(["--tensor-parallel-size", str(recipe.tensor_parallel_size)])    if recipe.pipeline_parallel_size > 1:        cmd.extend(["--pipeline-parallel-size", str(recipe.pipeline_parallel_size)])     cmd.extend(["--max-model-len", str(recipe.max_model_len)])    cmd.extend(["--gpu-memory-utilization", str(recipe.gpu_memory_utilization)])    cmd.extend(["--max-num-seqs", str(recipe.max_num_seqs)])     if recipe.kv_cache_dtype != "auto":        cmd.extend(["--kv-cache-dtype", recipe.kv_cache_dtype])    if recipe.trust_remote_code:        cmd.append("--trust-remote-code")    if recipe.tool_call_parser:        cmd.extend(["--tool-call-parser", recipe.tool_call_parser, "--enable-auto-tool-choice"])    if recipe.quantization:        cmd.extend(["--quantization", recipe.quantization])    if recipe.dtype:        cmd.extend(["--dtype", recipe.dtype])     _append_extra_args(cmd, recipe.extra_args)    return cmd  def build_sglang_command(recipe: Recipe) -> List[str]:    """Build SGLang launch command."""    python = recipe.python_path or settings.sglang_python or "python"    cmd = [python, "-m", "sglang.launch_server"]    cmd.extend(["--model-path", recipe.model_path])    cmd.extend(["--host", recipe.host, "--port", str(recipe.port)])     if recipe.served_model_name:        cmd.extend(["--served-model-name", recipe.served_model_name])    if recipe.tensor_parallel_size > 1:        cmd.extend(["--tp", str(recipe.tensor_parallel_size)])     cmd.extend(["--context-length", str(recipe.max_model_len)])    cmd.extend(["--mem-fraction-static", str(recipe.gpu_memory_utilization)])     if recipe.trust_remote_code:        cmd.append("--trust-remote-code")    if recipe.quantization:        cmd.extend(["--quantization", recipe.quantization])     _append_extra_args(cmd, recipe.extra_args)    return cmd  def _append_extra_args(cmd: List[str], extra_args: dict) -> None:    """Append extra CLI arguments to command."""    for key, value in extra_args.items():        flag = f"--{key.replace('_', '-')}"        if value is True:            cmd.append(flag)        elif value not in (False, None):            if isinstance(value, (dict, list)):                cmd.extend([flag, json.dumps(value)])            else:                cmd.extend([flag, str(value)])