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ailine/backend/app/main_graph/state.py

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"""
主图状态定义 - React 模式增强版
Main Graph State Definition - React Mode Enhanced
字段分类说明
- 持久化字段跨轮次保留不重置
- 临时字段每轮对话开始时重置
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"""
from enum import Enum, auto
from typing import Optional, Dict, Any, Annotated, Sequence, TypedDict, List
from dataclasses import dataclass, field
refactor: 单图方案重构 + 动态模型选择 + chat_services优化 ## 核心改动 ### 1. 单图方案重构 - 删除了多图(self.graphs),改为单图(self.graph) - 新增 MainGraphState.current_model 字段用于运行时注入模型 - llm_call 节点改为动态选择模型(create_dynamic_llm_call_node) ### 2. chat_services 优化 - 添加 _cached_services 缓存,避免重复初始化 - 新增 get_cached_chat_services() 函数,用于单图注入 - 新增 _check_http_service_available() 统一HTTP探测逻辑 - 减少重复代码,LocalVLLMChatProvider和LocalSmallModelProvider共用探测方法 ### 3. AIAgentService 重构 - initialize() 只构建一次图,传入 chat_services 字典 - 新增 _resolve_model() 模型回退逻辑 - 新增 _build_invocation() 统一构建调用参数 - process_message() 和 process_message_stream() 改为注入 current_model - 流式处理代码拆分,增加可读性 ### 4. 新增和删除文件 - 新增:backend/app/main_graph/main_graph_builder.py(图构建) - 新增:backend/app/main_graph/subgraph_wrapper.py(子图封装) - 新增:tools/test/test_tavily_search.py(测试) - 删除:backend/app/main_graph/graph.py(旧图) - 删除:backend/app/main_graph/utils/main_graph_builder.py(旧构建器) - 删除:backend/app/main_graph/utils/__init__.py ### 5. 其他更新 - README.md:新增模型服务使用情况详解章节 - backend/app/model_services/__init__.py:新增 get_cached_chat_services 导出 ## 方案优势 - 内存优化:N张图 → 1张图 - 灵活性:运行时动态选择模型,支持同会话不同模型 - 性能:模型服务缓存,初始化仅一次 - 可维护性:减少重复代码,统一HTTP探测逻辑
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from langgraph.graph import add_messages
from langchain_core.messages import BaseMessage
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# ========== 枚举类型 ==========
class CurrentAction(Enum):
"""主图当前操作类型"""
NONE = auto()
GENERAL_CHAT = auto()
NEWS_ANALYSIS = auto()
DICTIONARY = auto()
CONTACT = auto()
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class ErrorSeverity(Enum):
"""错误严重程度"""
INFO = auto() # 信息级别,继续执行
WARNING = auto() # 警告级别,可以重试
ERROR = auto() # 错误级别,需要处理
FATAL = auto() # 致命错误,终止执行
@dataclass
class ErrorRecord:
"""错误记录"""
error_type: str
error_message: str
severity: ErrorSeverity = ErrorSeverity.ERROR
source: str = "" # 来源:哪个节点/子图/工具
timestamp: str = ""
retry_count: int = 0 # 已重试次数
max_retries: int = 3 # 最大重试次数
context: Dict[str, Any] = field(default_factory=dict) # 错误上下文
@dataclass
class ReactReasoningState:
"""React 推理状态"""
last_reasoning: Optional[Dict[str, Any]] = None
reasoning_result: Optional[Any] = None # 实际类型是 ReasoningResult
@dataclass
class HybridRouterState:
"""混合路由状态"""
decision: Optional[Any] = None # 实际类型是 HybridRouterResult
start_time: Optional[str] = None
@dataclass
class FastPathState:
"""快速路径状态"""
chitchat_success: bool = False
rag_success: bool = False
tool_success: bool = False
failed: bool = False
fail_reason: str = ""
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@dataclass
class MainGraphState:
"""
主图状态定义
字段分类
- 持久化字段跨轮次保留不重置
- 临时字段每轮对话开始时重置
"""
# ==================================================
# 持久化字段(每轮保留)
# ==================================================
messages: Annotated[Sequence[BaseMessage], add_messages] = field(default_factory=list)
turns_since_last_summary: int = 0 # 距离上次总结的轮数
user_id: str = ""
# ==================================================
# 临时字段(每轮重置)
# ==================================================
# 主图控制字段
user_query: str = ""
current_action: CurrentAction = CurrentAction.NONE
current_model: str = "" # 本次请求使用的模型
intent_confidence: float = 0.0
# React 推理专用字段
reasoning_step: int = 0
max_steps: int = 10 # 避免过长循环
last_action: str = ""
reasoning_history: List[Dict[str, Any]] = field(default_factory=list)
# RAG 相关字段
rag_context: str = ""
rag_retrieved: bool = False
rag_docs: List[Dict[str, Any]] = field(default_factory=list)
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rag_confidence: float = 0.0 # RAG 检索置信度 (0.0-1.0)
rag_attempts: int = 0 # RAG 检索次数统计
# 联网搜索相关字段
web_search_results: List[str] = field(default_factory=list)
# 错误处理字段
errors: List[ErrorRecord] = field(default_factory=list)
current_error: Optional[ErrorRecord] = None
retry_action: Optional[str] = None
error_message: str = ""
# 子图结果字段
news_result: Optional[Dict[str, Any]] = None
dictionary_result: Optional[Dict[str, Any]] = None
contact_result: Optional[Dict[str, Any]] = None
# 执行状态
current_phase: str = "init"
final_result: str = ""
success: bool = False
# 元数据
start_time: Optional[str] = None
end_time: Optional[str] = None
# 结构化状态
react_reasoning: ReactReasoningState = field(default_factory=ReactReasoningState)
hybrid_router: HybridRouterState = field(default_factory=HybridRouterState)
fast_path: FastPathState = field(default_factory=FastPathState)
# 统计字段(用于反馈)
llm_calls: int = 0
last_token_usage: Dict[str, Any] = field(default_factory=dict)
last_elapsed_time: float = 0.0
memory_context: str = "" # 记忆检索结果
# 向后兼容(保留但不推荐使用)
debug_info: Dict[str, Any] = field(default_factory=dict)