feat: add flag for dumping dynamo engine config and environment (#3286)

Signed-off-by: William Arnold <7565007+Aphoh@users.noreply.github.com>

.gitignore

@@ -100,4 +100,7 @@ TensorRT-LLM
 /CLAUDE.md.bak
 
 # Benchmarks
-benchmarks/results
\ No newline at end of file
+benchmarks/results
+
+# Direnv
+.envrc
\ No newline at end of file

components/src/dynamo/common/__init__.py

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+Dynamo Common Module
+
+This module contains shared utilities and components used across multiple
+Dynamo backends and components.
+
+Main submodules:
+    - config_dump: Configuration dumping and system diagnostics utilities
+"""
+
+from dynamo.common import config_dump
+from dynamo.common._version import __version__
+
+__all__ = ["__version__", "config_dump"]

components/src/dynamo/common/config_dump/__init__.py

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+Configuration Dumping Utilities
+
+This module provides utilities for dumping configuration and system information
+for debugging and diagnostics purposes.
+"""
+
+from dynamo.common.config_dump.config_dumper import (
+    add_config_dump_args,
+    dump_config,
+    get_config_dump,
+    register_encoder,
+)
+from dynamo.common.config_dump.environment import get_environment_vars
+from dynamo.common.config_dump.system_info import (
+    get_gpu_info,
+    get_runtime_info,
+    get_system_info,
+)
+
+__all__ = [
+    "add_config_dump_args",
+    "dump_config",
+    "get_config_dump",
+    "get_environment_vars",
+    "get_gpu_info",
+    "get_runtime_info",
+    "get_system_info",
+    "register_encoder",
+]

components/src/dynamo/common/config_dump/config_dumper.py

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+import argparse
+import dataclasses
+import functools
+import json
+import logging
+import pathlib
+from enum import Enum
+from typing import Any, Dict, Optional
+
+from dynamo.common._version import __version__
+
+from .environment import get_environment_vars
+from .system_info import (
+    get_gpu_info,
+    get_package_info,
+    get_runtime_info,
+    get_system_info,
+)
+
+logger = logging.getLogger(__name__)
+
+
+def _get_sglang_version() -> Optional[str]:
+    """Get SGLang version if available.
+
+    Returns:
+        Version string if SGLang is installed, None otherwise.
+    """
+    try:
+        import sglang as sgl
+
+        return sgl.__version__
+    except ImportError:
+        logger.debug("SGLang not available")
+        return None
+    except AttributeError:
+        logger.warning("SGLang installed but version not available")
+        return None
+
+
+def _get_trtllm_version() -> Optional[str]:
+    """Get TensorRT-LLM version if available.
+
+    Returns:
+        Version string if TensorRT-LLM is installed, None otherwise.
+    """
+    try:
+        import tensorrt_llm
+
+        return tensorrt_llm.__version__
+    except ImportError:
+        logger.debug("TensorRT-LLM not available")
+        return None
+    except AttributeError:
+        logger.warning("TensorRT-LLM installed but version not available")
+        return None
+
+
+def _get_vllm_version() -> Optional[str]:
+    """Get vLLM version if available.
+
+    Returns:
+        Version string if vLLM is installed, None otherwise.
+    """
+    try:
+        import vllm
+
+        return vllm.__version__
+    except ImportError:
+        logger.debug("vLLM not available")
+        return None
+    except AttributeError:
+        logger.warning("vLLM installed but version not available")
+        return None
+
+
+def dump_config(dump_config_to: Optional[str], config: Any) -> None:
+    """
+    Dump the configuration to a file or stdout.
+
+    If dump_config_to is not provided, the config will be logged to stdout at VERBOSE level.
+
+    Args:
+        dump_config_to: Optional path to dump the config to. If None, logs to stdout.
+        config: The configuration object to dump (must be JSON-serializable).
+
+    Raises:
+        Logs errors but does not raise exceptions to ensure graceful degradation.
+    """
+    config_dump_payload = get_config_dump(config)
+
+    if dump_config_to:
+        try:
+            dump_path = pathlib.Path(dump_config_to)
+            dump_path.parent.mkdir(parents=True, exist_ok=True)
+            with open(dump_path.resolve(), "w", encoding="utf-8") as f:
+                f.write(config_dump_payload)
+            logger.info(f"Dumped config to {dump_path.resolve()}")
+        except (OSError, IOError):
+            logger.exception(f"Failed to dump config to {dump_config_to}")
+            logger.info(f"CONFIG_DUMP: {config_dump_payload}")
+        except Exception:
+            logger.exception("Unexpected error dumping config")
+            logger.info(f"CONFIG_DUMP: {config_dump_payload}")
+    else:
+        logger.info(f"CONFIG_DUMP: {config_dump_payload}")
+
+
+def get_config_dump(config: Any, extra_info: Optional[Dict[str, Any]] = None) -> str:
+    """
+    Collect comprehensive config information about a backend instance.
+
+    Args:
+        config: Any JSON-serializable object containing the backend configuration.
+        extra_info: Optional dict of additional information to include in the dump.
+
+    Returns:
+        JSON string containing comprehensive information.
+
+    Note:
+        Returns error information if collection fails, ensuring some diagnostic data is always available.
+    """
+    if extra_info is None:
+        extra_info = {}
+    try:
+        config_dump = {
+            "system_info": get_system_info(),
+            "environment": get_environment_vars(),
+            "config": config,
+            "runtime_info": get_runtime_info(),
+            "dynamo_version": __version__,
+            "gpu_info": get_gpu_info(),
+            "installed_packages": get_package_info(),
+        }
+
+        # Add common versions
+        if ver := _get_sglang_version():
+            config_dump["sglang_version"] = ver
+        if ver := _get_trtllm_version():
+            config_dump["trtllm_version"] = ver
+        if ver := _get_vllm_version():
+            config_dump["vllm_version"] = ver
+
+        # Add any extra information provided by the caller
+        if extra_info:
+            config_dump.update(extra_info)
+
+        return canonical_json_encoder.encode(config_dump)
+
+    except Exception as e:
+        logger.error(f"Error collecting config dump: {e}")
+        # Return a basic error response with at least system info
+        error_info = {
+            "error": f"Failed to collect config dump: {str(e)}",
+            "system_info": get_system_info(),  # Always try to include basic system info
+        }
+        return canonical_json_encoder.encode(error_info)
+
+
+def add_config_dump_args(parser: argparse.ArgumentParser):
+    """
+    Add arguments to the parser to dump the config to a file.
+
+    Args:
+        parser: The parser to add the arguments to
+    """
+    parser.add_argument(
+        "--dump-config-to",
+        type=str,
+        default=None,
+        help="Dump config to the specified file path. If not specified, the config will be dumped to stdout at INFO level.",
+    )
+
+
+@functools.singledispatch
+def _preprocess_for_encode(obj: object) -> object:
+    """
+    Single dispatch function for preprocessing objects before JSON encoding.
+
+    This function should be extended using @register_encoder decorator
+    for backend-specific types.
+    """
+    if dataclasses.is_dataclass(obj) and not isinstance(obj, type):
+        return dataclasses.asdict(obj)
+    logger.warning(f"Unknown type {type(obj)}, using __dict__ or str(obj)")
+    if hasattr(obj, "__dict__"):
+        return obj.__dict__
+    return str(obj)
+
+
+def register_encoder(type_class):
+    """
+    Decorator to register custom encoders for specific types.
+
+    Usage:
+        @register_encoder(MyClass)
+        def encode_my_class(obj: MyClass):
+            return {"field": obj.field}
+    """
+    logger.debug(f"Registering encoder for {type_class}")
+    return _preprocess_for_encode.register(type_class)
+
+
+@register_encoder(set)
+def _preprocess_for_encode_set(
+    obj: set,
+) -> list:  # pyright: ignore[reportUnusedFunction]
+    return sorted(list(obj))
+
+
+@register_encoder(Enum)
+def _preprocess_for_encode_enum(
+    obj: Enum,
+) -> str:  # pyright: ignore[reportUnusedFunction]
+    return str(obj)
+
+
+# Create a canonical JSON encoder with consistent formatting
+canonical_json_encoder = json.JSONEncoder(
+    ensure_ascii=False,
+    separators=(",", ":"),
+    allow_nan=False,
+    sort_keys=True,
+    indent=None,
+    default=_preprocess_for_encode,
+)

components/src/dynamo/common/config_dump/environment.py

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+import os
+from typing import Dict, List, Optional, Set
+
+# Default environment variable prefixes to capture
+# These cover common ML/GPU/Dynamo-related configurations
+DEFAULT_ENV_PREFIXES = [
+    "DYN_",  # Dynamo-specific variables
+    "CUDA_",  # CUDA configuration
+    "NCCL_",  # NVIDIA Collective Communications Library
+    "HF_",  # HuggingFace
+    "TRANSFORMERS_",  # Transformers library
+    "SGLANG_",  # SGLang
+    "SGL_",  # SGLang (short prefix)
+    "MC_",  # Mooncake
+    "VLLM_",  # vLLM
+    "TENSORRT_",  # TensorRT
+    "TORCH_",  # PyTorch
+    "UCX_",  # UCX
+    "NIXL_",  # NIXL
+    "OMPI_",  # OpenMPI
+]
+
+# Sensitive variable patterns to redact (case-insensitive)
+SENSITIVE_PATTERNS = [
+    "TOKEN",
+    "API_KEY",
+    "SECRET",
+    "PASSWORD",
+    "CREDENTIAL",
+    "AUTH",
+]
+
+
+def get_environment_vars(
+    prefixes: Optional[List[str]] = None,
+    include_sensitive: bool = False,
+    additional_vars: Optional[Set[str]] = None,
+) -> Dict[str, str]:
+    """
+    Get relevant environment variables based on prefixes.
+
+    Args:
+        prefixes: List of environment variable prefixes to capture.
+                  If None, uses DEFAULT_ENV_PREFIXES.
+        include_sensitive: If False, redacts values of potentially sensitive variables.
+                          Default is False for security.
+        additional_vars: Set of specific variable names to include regardless of prefix.
+
+    Returns:
+        Dictionary of environment variable names to values.
+        Sensitive values are replaced with "<REDACTED>" unless include_sensitive is True.
+
+    Examples:
+        >>> get_environment_vars()  # Uses default prefixes
+        >>> get_environment_vars(prefixes=["MY_APP_"])  # Custom prefixes only
+        >>> get_environment_vars(additional_vars={"PATH", "HOME"})  # Include specific vars
+    """
+    if prefixes is None:
+        prefixes = DEFAULT_ENV_PREFIXES
+
+    if additional_vars is None:
+        additional_vars = set()
+
+    relevant_env_vars = {}
+
+    for key, value in os.environ.items():
+        # Check if matches prefix or is in additional_vars
+        if any(key.startswith(prefix) for prefix in prefixes) or key in additional_vars:
+            # Redact sensitive values unless explicitly requested
+            if not include_sensitive and _is_sensitive(key):
+                relevant_env_vars[key] = "<REDACTED>"
+            else:
+                relevant_env_vars[key] = value
+
+    return relevant_env_vars
+
+
+def _is_sensitive(var_name: str) -> bool:
+    """
+    Check if an environment variable name suggests it contains sensitive data.
+
+    Args:
+        var_name: The environment variable name to check.
+
+    Returns:
+        True if the variable name matches sensitive patterns.
+    """
+    var_name_upper = var_name.upper()
+    return any(pattern in var_name_upper for pattern in SENSITIVE_PATTERNS)

components/src/dynamo/common/config_dump/system_info.py

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+import importlib.metadata
+import logging
+import platform
+import sys
+from typing import Any, Dict, Optional
+
+logger = logging.getLogger(__name__)
+
+
+def get_system_info() -> Dict[str, Any]:
+    """
+    Get comprehensive system information.
+
+    Returns:
+        Dictionary containing platform, architecture, processor, hostname,
+        and operating system details.
+
+    Note:
+        Gracefully handles errors by returning partial information.
+    """
+    info: Dict[str, Any] = {}
+
+    try:
+        info["platform"] = platform.platform()
+    except Exception as e:
+        logger.warning(f"Failed to get platform: {e}")
+        info["platform"] = "unknown"
+
+    try:
+        info["architecture"] = platform.architecture()
+    except Exception as e:
+        logger.warning(f"Failed to get architecture: {e}")
+        info["architecture"] = ("unknown", "unknown")
+
+    try:
+        info["processor"] = platform.processor() or "unknown"
+    except Exception as e:
+        logger.warning(f"Failed to get processor: {e}")
+        info["processor"] = "unknown"
+
+    try:
+        info["hostname"] = platform.node()
+    except Exception as e:
+        logger.warning(f"Failed to get hostname: {e}")
+        info["hostname"] = "unknown"
+
+    try:
+        info["os_name"] = platform.system()
+        info["os_release"] = platform.release()
+        info["os_version"] = platform.version()
+    except Exception as e:
+        logger.warning(f"Failed to get OS details: {e}")
+
+    return info
+
+
+def get_runtime_info() -> Dict[str, Any]:
+    """
+    Get Python runtime information.
+
+    Returns:
+        Dictionary containing Python version, executable path, and command-line arguments.
+
+    Note:
+        Gracefully handles errors by returning partial information.
+    """
+    info: Dict[str, Any] = {}
+
+    try:
+        info["python_version"] = sys.version
+        info["python_version_info"] = {
+            "major": sys.version_info.major,
+            "minor": sys.version_info.minor,
+            "micro": sys.version_info.micro,
+        }
+    except Exception as e:
+        logger.warning(f"Failed to get Python version: {e}")
+        info["python_version"] = "unknown"
+
+    try:
+        info["python_executable"] = sys.executable
+    except Exception as e:
+        logger.warning(f"Failed to get Python executable: {e}")
+        info["python_executable"] = "unknown"
+
+    try:
+        info["command_line_args"] = sys.argv
+    except Exception as e:
+        logger.warning(f"Failed to get command-line args: {e}")
+        info["command_line_args"] = []
+
+    return info
+
+
+def get_gpu_info() -> Optional[Dict[str, Any]]:
+    """
+    Get GPU information if available.
+
+    Returns:
+        Dictionary containing GPU details if available, None otherwise.
+        Attempts to use nvidia-smi via subprocess.
+
+    Note:
+        This is a best-effort function and returns None if GPU info cannot be obtained.
+    """
+    try:
+        import subprocess
+
+        result = subprocess.run(
+            [
+                "nvidia-smi",
+                "--query-gpu=name,driver_version,memory.total",
+                "--format=csv,noheader",
+            ],
+            capture_output=True,
+            text=True,
+            timeout=5,
+        )
+        if result.returncode == 0:
+            gpu_lines = result.stdout.strip().split("\n")
+            gpus = []
+            for line in gpu_lines:
+                if line:
+                    parts = [p.strip() for p in line.split(",")]
+                    if len(parts) >= 3:
+                        gpus.append(
+                            {
+                                "name": parts[0],
+                                "driver_version": parts[1],
+                                "memory_total": parts[2],
+                            }
+                        )
+            return {"gpus": gpus, "count": len(gpus)} if gpus else None
+    except (FileNotFoundError, subprocess.TimeoutExpired, Exception) as e:
+        logger.debug(f"Failed to get GPU info: {e}")
+
+    return None
+
+
+def get_package_info() -> Optional[Dict[str, Any]]:
+    """
+    Get package information.
+
+    Returns:
+        Dictionary containing installed packages and their versions.
+    """
+
+    packages = {}
+    for package in importlib.metadata.distributions():
+        packages[package.name] = package.version
+
+    return packages

components/src/dynamo/frontend/main.py

@@ -30,6 +30,8 @@ import re
 
 import uvloop
 
+from dynamo.common.config_dump import dump_config
+from dynamo.common.config_dump.config_dumper import add_config_dump_args
 from dynamo.llm import (
     EngineType,
     EntrypointArgs,
@@ -207,6 +209,7 @@ def parse_args():
         default=False,
         help="Start KServe gRPC server.",
     )
+    add_config_dump_args(parser)
 
     flags = parser.parse_args()
 
@@ -220,6 +223,7 @@ def parse_args():
 
 async def async_main():
     flags = parse_args()
+    dump_config(flags.dump_config_to, flags)
     is_static = bool(flags.static_endpoint)  # true if the string has a value
 
     # Configure Dynamo frontend HTTP service metrics prefix

components/src/dynamo/sglang/args.py

@@ -15,6 +15,7 @@ from typing import Any, Dict, Generator, List, Optional
 from sglang.srt.server_args import ServerArgs
 
 from dynamo._core import get_reasoning_parser_names, get_tool_parser_names
+from dynamo.common.config_dump import register_encoder
 from dynamo.runtime.logging import configure_dynamo_logging
 from dynamo.sglang import __version__
 
@@ -85,6 +86,12 @@ DYNAMO_ARGS: Dict[str, Dict[str, Any]] = {
         "default": False,
         "help": "Run as embedding worker component (Dynamo flag, also sets SGLang's --is-embedding)",
     },
+    "dump-config-to": {
+        "flags": ["--dump-config-to"],
+        "type": str,
+        "default": None,
+        "help": "Dump debug config to the specified file path. If not specified, the config will be dumped to stdout at INFO level.",
+    },
 }
 
 
@@ -110,6 +117,8 @@ class DynamoArgs:
 
     # embedding options
     embedding_worker: bool = False
+    # config dump options
+    dump_config_to: Optional[str] = None
 
 
 class DisaggregationMode(Enum):
@@ -137,6 +146,20 @@ class Config:
             return DisaggregationMode.AGGREGATED
 
 
+# Register SGLang-specific encoders with the shared system
+@register_encoder(Config)
+def _preprocess_for_encode_config(
+    config: Config,
+) -> Dict[str, Any]:  # pyright: ignore[reportUnusedFunction]
+    return {
+        "server_args": config.server_args,
+        "dynamo_args": config.dynamo_args,
+        "serving_mode": config.serving_mode.value
+        if config.serving_mode is not None
+        else "None",
+    }
+
+
 def _set_parser(
     sglang_str: Optional[str],
     dynamo_str: Optional[str],
@@ -307,6 +330,7 @@ def parse_args(args: list[str]) -> Config:
         multimodal_encode_worker=parsed_args.multimodal_encode_worker,
         multimodal_worker=parsed_args.multimodal_worker,
         embedding_worker=parsed_args.embedding_worker,
+        dump_config_to=parsed_args.dump_config_to,
     )
     logging.debug(f"Dynamo args: {dynamo_args}")
 

components/src/dynamo/sglang/main.py

@@ -9,6 +9,7 @@ import sys
 import sglang as sgl
 import uvloop
 
+from dynamo.common.config_dump import dump_config
 from dynamo.llm import ModelInput, ModelType
 from dynamo.runtime import DistributedRuntime, dynamo_worker
 from dynamo.runtime.logging import configure_dynamo_logging
@@ -45,6 +46,7 @@ async def worker(runtime: DistributedRuntime):
     logging.info("Signal handlers will trigger a graceful shutdown of the runtime")
 
     config = parse_args(sys.argv[1:])
+    dump_config(config.dynamo_args.dump_config_to, config)
     if config.dynamo_args.embedding_worker:
         await init_embedding(runtime, config)
     elif config.dynamo_args.multimodal_processor:

components/src/dynamo/trtllm/main.py

@@ -23,6 +23,7 @@ from torch.cuda import device_count
 from transformers import AutoConfig
 
 import dynamo.nixl_connect as nixl_connect
+from dynamo.common.config_dump import dump_config
 from dynamo.llm import ModelInput, ModelRuntimeConfig, ModelType, register_llm
 from dynamo.runtime import DistributedRuntime, dynamo_worker
 from dynamo.runtime.logging import configure_dynamo_logging
@@ -270,6 +271,10 @@ async def init(runtime: DistributedRuntime, config: Config):
     connector = nixl_connect.Connector()
     await connector.initialize()
 
+    dump_config(
+        config.dump_config_to, {"engine_args": engine_args, "dynamo_args": config}
+    )
+
     async with get_llm_engine(engine_args) as engine:
         endpoint = component.endpoint(config.endpoint)
 

components/src/dynamo/trtllm/utils/trtllm_utils.py

@@ -8,6 +8,7 @@ from typing import Optional
 from tensorrt_llm.llmapi import BuildConfig
 
 from dynamo._core import get_reasoning_parser_names, get_tool_parser_names
+from dynamo.common.config_dump import add_config_dump_args
 from dynamo.trtllm import __version__
 from dynamo.trtllm.request_handlers.handler_base import (
     DisaggregationMode,
@@ -59,6 +60,7 @@ class Config:
         self.max_file_size_mb: int = 50
         self.reasoning_parser: Optional[str] = None
         self.tool_call_parser: Optional[str] = None
+        self.dump_config_to: Optional[str] = None
         self.custom_jinja_template: Optional[str] = None
 
     def __str__(self) -> str:
@@ -91,6 +93,7 @@ class Config:
             f"max_file_size_mb={self.max_file_size_mb}, "
             f"reasoning_parser={self.reasoning_parser}, "
             f"tool_call_parser={self.tool_call_parser}, "
+            f"dump_config_to={self.dump_config_to},"
             f"custom_jinja_template={self.custom_jinja_template}"
         )
 
@@ -298,6 +301,7 @@ def cmd_line_args():
         choices=get_reasoning_parser_names(),
         help="Reasoning parser name for the model. If not specified, no reasoning parsing is performed.",
     )
+    add_config_dump_args(parser)
     parser.add_argument(
         "--custom-jinja-template",
         type=str,
@@ -374,6 +378,7 @@ def cmd_line_args():
 
     config.reasoning_parser = args.dyn_reasoning_parser
     config.tool_call_parser = args.dyn_tool_call_parser
+    config.dump_config_to = args.dump_config_to
 
     # Handle custom jinja template path expansion (environment variables and home directory)
     if args.custom_jinja_template:

components/src/dynamo/vllm/args.py

@@ -4,7 +4,7 @@
 
 import logging
 import os
-from typing import Optional
+from typing import Any, Dict, Optional
 
 from vllm.config import KVTransferConfig
 from vllm.distributed.kv_events import KVEventsConfig
@@ -12,6 +12,7 @@ from vllm.engine.arg_utils import AsyncEngineArgs
 from vllm.utils import FlexibleArgumentParser
 
 from dynamo._core import get_reasoning_parser_names, get_tool_parser_names
+from dynamo.common.config_dump import add_config_dump_args, register_encoder
 from dynamo.runtime import DistributedRuntime
 
 from . import __version__
@@ -63,6 +64,14 @@ class Config:
     tool_call_parser: Optional[str] = None
     reasoning_parser: Optional[str] = None
 
+    # dump config to file
+    dump_config_to: Optional[str] = None
+
+
+@register_encoder(Config)
+def _preprocess_for_encode_config(config: Config) -> Dict[str, Any]:
+    return config.__dict__
+
 
 def parse_args() -> Config:
     parser = FlexibleArgumentParser(
@@ -122,6 +131,7 @@ def parse_args() -> Config:
         default=None,
         help="Path to a custom Jinja template file to override the model's default chat template. This template will take precedence over any template found in the model repository.",
     )
+    add_config_dump_args(parser)
 
     parser = AsyncEngineArgs.add_cli_args(parser)
     args = parser.parse_args()
@@ -206,6 +216,8 @@ def parse_args() -> Config:
             f"Setting reasonable default of {config.engine_args.block_size} for block_size"
         )
 
+    config.dump_config_to = args.dump_config_to
+
     return config
 
 

components/src/dynamo/vllm/main.py

@@ -12,6 +12,7 @@ from vllm.distributed.kv_events import ZmqEventPublisher
 from vllm.usage.usage_lib import UsageContext
 from vllm.v1.engine.async_llm import AsyncLLM
 
+from dynamo.common.config_dump import dump_config
 from dynamo.llm import (
     ModelInput,
     ModelRuntimeConfig,
@@ -78,6 +79,7 @@ async def worker(runtime: DistributedRuntime):
 
     logging.debug("Signal handlers set up for graceful shutdown")
 
+    dump_config(config.dump_config_to, config)
     if config.is_prefill_worker:
         await init_prefill(runtime, config)
         logger.debug("init_prefill completed")

hatch_build.py

@@ -7,6 +7,7 @@ import subprocess
 from hatchling.builders.hooks.plugin.interface import BuildHookInterface
 
 COMPONENTS = [
+    "common",
     "frontend",
     "vllm",
     "sglang",