Unify server-side and model-side Config

[YuanRisheng]

本PR主要做了如下工作：

• 全局Config进行统一，删除fastdeploy/engine/config.py文件
• 各类Config中的字段合理归置，并且参照vllm新增MultiModalConfig，ObservabilityConfig

[paddle-bot]

Thanks for your contribution!

[Copilot]

Pull Request Overview

This PR unifies the server-side and model-side configuration system by consolidating the various config classes and eliminating the fastdeploy/engine/config.py file. The changes reorganize configuration fields across different specialized config classes (SchedulerConfig, CacheConfig, DeviceConfig, etc.) and introduce new config types (MultiModalConfig, ObservabilityConfig) following the vLLM pattern.

Key changes:

• Unified configuration structure eliminating duplicate config handling
• Added new specialized config classes for better organization
• Migrated fields from ParallelConfig to appropriate specialized configs
• Updated all references throughout the codebase to use the new config structure

Reviewed Changes

Copilot reviewed 41 out of 41 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
fastdeploy/worker/xpu_worker.py	Updated to use model_config.dtype and device_config.device_ids instead of parallel_config
fastdeploy/worker/xpu_model_runner.py	Migrated parallel_config references to scheduler_config and model_config appropriately
fastdeploy/worker/worker_process.py	Added new config imports and updated field access patterns
fastdeploy/worker/worker_base.py	Added cache_config reference
fastdeploy/worker/model_runner_base.py	Added references to new specialized config objects
fastdeploy/worker/iluvatar_worker.py	Updated config field access patterns
fastdeploy/worker/iluvatar_model_runner.py	Migrated config references and updated observability_config usage
fastdeploy/worker/gpu_worker.py	Updated device and cache config field access
fastdeploy/worker/gpu_model_runner.py	Comprehensive config migration and field access updates
fastdeploy/worker/gcu_worker.py	Updated device config field access
fastdeploy/worker/gcu_model_runner.py	Migrated config references and added duplicate log statement
fastdeploy/worker/dcu_worker.py	Updated cache config field access
fastdeploy/splitwise/splitwise_connector.py	Updated scheduler_config field access patterns
fastdeploy/spec_decode/mtp.py	Updated config field access and removed kv_cache_config reference
fastdeploy/spec_decode/base.py	Updated config field access patterns
fastdeploy/scheduler/config.py	Major refactoring to add config fields and validation logic
fastdeploy/rl/dynamic_weight_manager.py	Updated model config field access
fastdeploy/output/token_processor.py	Updated model_config field access
fastdeploy/model_executor/pre_and_post_process.py	Updated import path
fastdeploy/model_executor/model_loader.py	Updated config field access
fastdeploy/model_executor/layers/moe/fused_moe_backend_base.py	Updated model_config field access
fastdeploy/model_executor/layers/backends/gcu/attention/mem_efficient_attn_backend.py	Updated config field access patterns
fastdeploy/model_executor/layers/backends/gcu/attention/flash_attn_backend.py	Updated config field access patterns
fastdeploy/model_executor/layers/attention/ (multiple files)	Updated config field access patterns across attention backends
fastdeploy/model_executor/guided_decoding/ (multiple files)	Updated config field access patterns
fastdeploy/input/preprocess.py	Updated import path and ModelConfig usage
fastdeploy/entrypoints/llm.py	Updated config field access
fastdeploy/engine/expert_service.py	Updated config field access patterns throughout
fastdeploy/engine/engine.py	Comprehensive config field access updates
fastdeploy/engine/config.py	File deleted (975 lines removed)
fastdeploy/engine/args_utils.py	Updated imports and config creation logic

Comments suppressed due to low confidence (1)

fastdeploy/scheduler/config.py:94

• The field 'max_model_len' is being set in the constructor but later referenced as 'self.scheduler_config.max_model_len'. Consider ensuring consistent field naming and access patterns.

    Configuration class for GlobalScheduler (Redis-based).

[Copilot]

Duplicate log statement detected. This line appears to be a copy-paste error as it's identical to line 810.

Suggested change

logger.info(f"Warm up the model with the batch size:{batch_size}, num tokens:{expected_decode_len}")

[Copilot]

Using bare 'except Exception:' is too broad. Consider catching specific exceptions or using 'except ImportError:' since this appears to be handling an import failure.

Suggested change

	except Exception:
	except ImportError:

[Copilot]

Using bare 'except Exception:' is too broad. Consider catching specific exceptions that might occur during process termination.

Suggested change

	except Exception:
	pass
	except ProcessLookupError:
	llm_logger.warning(f"Process {p.pid} does not exist.")
	except PermissionError:
	llm_logger.error(f"Permission denied while trying to kill process {p.pid}.")
	except Exception as e:
	llm_logger.exception(f"Unexpected error while killing process {p.pid}: {e}")
	raise