增加了前后文一致性，提取技术解决方案，如果没有就自己编一个

config/prompts.yaml

@@ -115,12 +115,15 @@ toc_prompts:
     {criteria_info}
     【招标上下文摘录】:
     {context_snippets}
+    【全局技术一致性提示】:
+    {tech_consistency_prompt}
 
     生成要求:
     1. 为每个评分项生成对应的子标题名称(不要包含编号)
     2. 重要评分项可添加三级子标题(不要包含编号)
     3. 充分参考上下文摘录中的专业术语和业务背景,体现定制化判断
-    4. 只返回标题文本,编号由Word自动管理
+    4. 必须遵循“全局技术一致性提示”中的架构/技术选型/术语口径，确保全篇一致
+    5. 只返回标题文本,编号由Word自动管理
 
     返回JSON格式:
     {{

src/bidmaster/agents/builders/toc_builder.py

@@ -9,6 +9,7 @@ from typing import Dict, Any, Optional
 
 from ..base import AgentBuilder, BaseAgent, BaseAgentFactory
 from ...nodes.toc import (
+    PrepareTechConsistencyPromptNode,
     GroupCriteriaNode,
     GenerateFirstLevelNode,
     GenerateSubChaptersNode,
@@ -44,7 +45,8 @@ class TocAgentBuilder(AgentBuilder):
         builder = cls(interaction_handler)
 
         # 添加所有节点
-        builder.add_node(GroupCriteriaNode()) \
+        builder.add_node(PrepareTechConsistencyPromptNode()) \
+               .add_node(GroupCriteriaNode()) \
                .add_node(GenerateFirstLevelNode()) \
                .add_node(GenerateSubChaptersNode()) \
                .add_node(ReviewStructureNode()) \
@@ -55,7 +57,7 @@ class TocAgentBuilder(AgentBuilder):
                .add_node(OptimizeWithFeedbackNode())
 
         # 设置入口点
-        builder.set_entry("group_criteria")
+        builder.set_entry("prepare_tech_consistency_prompt")
 
         # 配置工作流程
         builder._configure_workflow()
@@ -65,6 +67,12 @@ class TocAgentBuilder(AgentBuilder):
 
     def _configure_workflow(self) -> None:
         """配置工作流程"""
+        self.add_conditional_edge(
+            "prepare_tech_consistency_prompt",
+            should_continue,
+            {"continue": "group_criteria", "end": "END"}
+        )
+
         # 添加条件边 - 每个节点都检查是否应该继续
         self.add_conditional_edge(
             "group_criteria",

src/bidmaster/nodes/toc/__init__.py

@@ -13,6 +13,7 @@ from .adjust_chapters import AdjustChaptersNode
 from .finalize_chapters import FinalizeChaptersNode
 from .user_feedback import UserFeedbackNode
 from .optimize_with_feedback import OptimizeWithFeedbackNode
+from .prepare_tech_consistency_prompt import PrepareTechConsistencyPromptNode
 
 # 辅助组件
 from .factories import ChapterFactory
@@ -36,6 +37,7 @@ __all__ = [
     "FinalizeChaptersNode",
     "UserFeedbackNode",
     "OptimizeWithFeedbackNode",
+    "PrepareTechConsistencyPromptNode",
 
     # 辅助组件
     "ChapterFactory",

src/bidmaster/nodes/toc/generate_sub_chapters.py

@@ -52,6 +52,7 @@ class GenerateSubChaptersNode(BaseNode, TocNodeBase):
                 self.log_step_info("context_searcher", f"上下文检索器初始化失败: {exc}")
 
         guidance_map = dict(state.get("chapter_guidance_map", {}))
+        tech_consistency_prompt = (state.get("tech_consistency_prompt") or "").strip() or None
 
         # 为每个章节生成子标题
         enhanced_chapters = []
@@ -59,7 +60,8 @@ class GenerateSubChaptersNode(BaseNode, TocNodeBase):
             enhanced_chapter = self._enhance_chapter_with_subs(
                 chapter,
                 technical_criteria,
-                context_searcher
+                context_searcher,
+                tech_consistency_prompt,
             )
             enhanced_chapters.append(enhanced_chapter)
 
@@ -75,7 +77,8 @@ class GenerateSubChaptersNode(BaseNode, TocNodeBase):
     def _enhance_chapter_with_subs(self,
                                   chapter: DocumentChapter,
                                   technical_criteria: List[ScoringCriteria],
-                                  context_searcher: Optional[DocumentContextSearcher] = None) -> DocumentChapter:
+                                  context_searcher: Optional[DocumentContextSearcher] = None,
+                                  tech_consistency_prompt: Optional[str] = None) -> DocumentChapter:
         """为章节增强子标题
 
         Args:
@@ -99,7 +102,8 @@ class GenerateSubChaptersNode(BaseNode, TocNodeBase):
         sub_chapters_data = LLMHelper.generate_sub_chapters_ai(
             corresponding_criteria,
             chapter,
-            context_snippets=context_snippets
+            context_snippets=context_snippets,
+            tech_consistency_prompt=tech_consistency_prompt,
         )
 
         if sub_chapters_data:

src/bidmaster/nodes/toc/llm_helper.py

@@ -79,15 +79,19 @@ class LLMHelper:
         return None
 
     @staticmethod
-    def generate_sub_chapters_ai(criteria_list: List[ScoringCriteria],
-                                parent_chapter: DocumentChapter,
-                                context_snippets: Optional[List[str]] = None) -> Optional[List[Dict[str, Any]]]:
+    def generate_sub_chapters_ai(
+        criteria_list: List[ScoringCriteria],
+        parent_chapter: DocumentChapter,
+        context_snippets: Optional[List[str]] = None,
+        tech_consistency_prompt: Optional[str] = None,
+    ) -> Optional[List[Dict[str, Any]]]:
         """AI生成子章节数据
 
         Args:
             criteria_list: 对应的评分项列表
             parent_chapter: 父章节
             context_snippets: 招标文档的相关片段
+            tech_consistency_prompt: 全局技术一致性提示词（用于统一术语/架构口径）
 
         Returns:
             子章节数据列表，失败时返回None
@@ -100,12 +104,14 @@ class LLMHelper:
         # 从配置获取提示词
         prompt_manager = get_prompt_manager()
         context_text = "\n".join(context_snippets) if context_snippets else "（暂无上下文摘录）"
+        consistency_text = (tech_consistency_prompt or "").strip() or "（暂无全局技术一致性提示）"
 
         prompt = prompt_manager.get_toc_prompt(
             "generate_sub_chapters",
             parent_title=parent_chapter.title,
             criteria_info=chr(10).join(criteria_info),
-            context_snippets=context_text
+            context_snippets=context_text,
+            tech_consistency_prompt=consistency_text,
         )
 
         try:

src/bidmaster/nodes/toc/prepare_tech_consistency_prompt.py

@@ -0,0 +1,241 @@
+"""全局技术一致性提示词准备节点
+
+在目录生成开始时：
+1) 从评分项/招标材料中抽取“技术要求”
+2) 从知识库RAG中检索“技术解决方案”
+3) 若两者齐全：拼装成提示词提供给子标题撰写AI使用
+4) 否则：生成一段几百字内的“系统架构+技术选型+整体建设要求”作为统一参考
+"""
+
+from __future__ import annotations
+
+import logging
+import re
+import textwrap
+from typing import Any, Dict, Iterable, List
+
+from ..base import BaseNode, NodeContext
+from ...tools.parser import ScoringCriteria
+from .base_mixins import TocNodeBase
+
+logger = logging.getLogger(__name__)
+
+
+_REQ_KEYWORDS = (
+    "须",
+    "应",
+    "必须",
+    "需要",
+    "要求",
+    "提供",
+    "包括",
+    "满足",
+    "支持",
+    "不少于",
+    "不得",
+)
+
+
+class PrepareTechConsistencyPromptNode(BaseNode, TocNodeBase):
+    """在目录生成开始前准备全局技术一致性提示词"""
+
+    @property
+    def name(self) -> str:
+        return "prepare_tech_consistency_prompt"
+
+    @property
+    def description(self) -> str:
+        return "生成全局技术一致性提示词"
+
+    def execute(self, state: Dict[str, Any], context: NodeContext) -> Dict[str, Any]:
+        return self.safe_execute(self._do_prepare, state, "生成全局技术一致性提示词")
+
+    def _do_prepare(self, state: Dict[str, Any]) -> Dict[str, Any]:
+        criteria: List[ScoringCriteria] = list(state.get("technical_criteria") or [])
+
+        tender_requirements = self._extract_tender_requirements(criteria)
+        rag_solutions = self._search_rag_solutions(state, criteria, tender_requirements)
+
+        if tender_requirements and rag_solutions:
+            prompt = self._build_prompt_from_sources(tender_requirements, rag_solutions)
+            source = "tender+rag"
+        else:
+            prompt = self._build_fallback_prompt(tender_requirements, criteria)
+            source = "fallback"
+
+        logger.info(
+            "技术一致性提示词生成完成: source=%s, req=%s条, rag=%s条",
+            source,
+            len(tender_requirements),
+            len(rag_solutions),
+        )
+
+        return self._update_state(
+            state,
+            tech_consistency_prompt=prompt,
+            tech_consistency_source=source,
+        )
+
+    def _extract_tender_requirements(self, criteria: Iterable[ScoringCriteria]) -> List[str]:
+        seen: set[str] = set()
+        collected: List[str] = []
+
+        def _add(text: str) -> None:
+            clean = self._normalize(text)
+            if not clean or clean in seen:
+                return
+            seen.add(clean)
+            collected.append(text.strip())
+
+        for item in criteria:
+            desc = (getattr(item, "description", "") or "").strip()
+            name = (getattr(item, "item_name", "") or "").strip()
+            if not desc and not name:
+                continue
+
+            if desc:
+                for seg in self._split_sentences(desc):
+                    if any(key in seg for key in _REQ_KEYWORDS):
+                        _add(seg)
+            elif name:
+                _add(name)
+
+        return collected[:10]
+
+    def _search_rag_solutions(
+        self,
+        state: Dict[str, Any],
+        criteria: List[ScoringCriteria],
+        tender_requirements: List[str],
+    ) -> List[str]:
+        rag_tool = state.get("rag_tool")
+        if rag_tool is None:
+            try:
+                from ...tools.rag import RAGTool
+
+                rag_tool = RAGTool()
+            except Exception as exc:
+                logger.warning("RAGTool初始化失败，将走fallback: %s", exc)
+                return []
+
+        query = self._build_solution_query(criteria, tender_requirements)
+        try:
+            results = rag_tool.search(query, k=5)
+        except Exception as exc:
+            logger.warning("RAG检索失败，将走fallback: %s", exc)
+            return []
+
+        snippets: List[str] = []
+        for item in results or []:
+            content = (item or {}).get("content") or ""
+            score = float((item or {}).get("score") or 0.0)
+            if not content.strip():
+                continue
+            if score and score < 0.2:
+                continue
+            snippets.append(self._truncate(content, 240))
+
+        return snippets[:4]
+
+    def _build_solution_query(
+        self,
+        criteria: List[ScoringCriteria],
+        tender_requirements: List[str],
+    ) -> str:
+        seeds: List[str] = [
+            "技术解决方案",
+            "技术路线",
+            "总体架构",
+            "系统架构",
+            "技术选型",
+            "性能",
+            "安全",
+            "运维",
+        ]
+
+        for item in criteria[:8]:
+            name = (item.item_name or "").strip()
+            if name:
+                seeds.append(name)
+
+        for req in tender_requirements[:3]:
+            seeds.append(req)
+
+        return " ".join(self._dedup_keep_order(seeds))
+
+    def _build_prompt_from_sources(self, tender_requirements: List[str], rag_solutions: List[str]) -> str:
+        req_block = "\n".join(f"- {self._truncate(r, 120)}" for r in tender_requirements[:8])
+        sol_block = "\n".join(f"- {self._truncate(s, 160)}" for s in rag_solutions[:4])
+
+        return (
+            "请在后续子标题生成时统一技术路线与术语，避免同一概念多种叫法。\n"
+            "【招标技术要求摘录】\n"
+            f"{req_block}\n\n"
+            "【知识库技术解决方案摘录】\n"
+            f"{sol_block}\n\n"
+            "生成约束：子标题应优先使用上述摘录中的专业术语/模块命名方式，并保持跨章节一致。"
+        ).strip()
+
+    def _build_fallback_prompt(self, tender_requirements: List[str], criteria: List[ScoringCriteria]) -> str:
+        hint_text = " ".join(tender_requirements) or " ".join(
+            (c.item_name + " " + (c.description or "")) for c in criteria[:8]
+        )
+        hints = self._infer_hints(hint_text)
+
+        architecture = "前端多端+后端服务层+数据层+集成与运维安全体系"
+        if "云边端协同" in hints:
+            architecture = "云边端协同（云平台+边缘节点+终端设备）+统一数据与运维体系"
+
+        tech_stack = "前端Web/移动端；后端服务采用可扩展框架并容器化部署；数据层采用关系型数据库+缓存+对象存储；日志/监控/告警一体化。"
+        if "物联网" in hints:
+            tech_stack = "支持物联网接入（MQTT/HTTP等）与设备管理；后端服务容器化部署；数据层关系型数据库+时序/缓存；日志/监控/告警一体化。"
+
+        requirements = "建设要求：接口标准化与可复用；安全合规与权限审计；性能指标可量化；高可用与可扩展；交付文档齐全、便于运维。"
+
+        return (
+            "未检索到可直接复用的技术解决方案摘录，以下为统一参考（几百字内）：\n"
+            f"系统架构：{architecture}。\n"
+            f"技术选型：{tech_stack}\n"
+            f"{requirements}\n"
+            "生成约束：后续子标题命名应围绕上述架构拆分模块，并保持全篇术语一致。"
+        ).strip()
+
+    @staticmethod
+    def _split_sentences(text: str) -> List[str]:
+        parts = re.split(r"[\n；;。]+", text)
+        return [p.strip().strip("：:·•") for p in parts if p.strip()]
+
+    @staticmethod
+    def _normalize(text: str) -> str:
+        return re.sub(r"\s+", "", (text or "")).strip().lower()
+
+    @staticmethod
+    def _truncate(text: str, limit: int) -> str:
+        cleaned = " ".join((text or "").split())
+        return textwrap.shorten(cleaned, width=limit, placeholder="...")
+
+    @staticmethod
+    def _dedup_keep_order(items: Iterable[str]) -> List[str]:
+        seen: set[str] = set()
+        result: List[str] = []
+        for item in items:
+            key = PrepareTechConsistencyPromptNode._normalize(item)
+            if not key or key in seen:
+                continue
+            seen.add(key)
+            result.append(item)
+        return result
+
+    @staticmethod
+    def _infer_hints(text: str) -> List[str]:
+        blob = text or ""
+        hits: List[str] = []
+        if "云边" in blob or "边缘" in blob:
+            hits.append("云边端协同")
+        if "物联网" in blob or "终端" in blob or "传感" in blob:
+            hits.append("物联网")
+        if "数据中台" in blob or "数据中心" in blob or "数据治理" in blob:
+            hits.append("数据中台")
+        if "安全" in blob or "等保" in blob:
+            hits.append("安全合规")
+        return hits

tests/unit/test_tech_consistency_prompt.py

@@ -0,0 +1,66 @@
+from bidmaster.nodes.base import NodeContext
+from bidmaster.nodes.toc.prepare_tech_consistency_prompt import (
+    PrepareTechConsistencyPromptNode,
+)
+from bidmaster.tools.parser import ScoringCriteria, TechnicalCategory
+
+
+class DummyRagTool:
+    def __init__(self, results):
+        self._results = results
+        self.last_query = None
+
+    def search(self, query: str, k: int = 5):
+        self.last_query = query
+        return list(self._results)
+
+
+def _criteria(description: str):
+    return [
+        ScoringCriteria(
+            item_name="技术方案-基本要求",
+            max_score=3.0,
+            description=description,
+            category=TechnicalCategory.TECHNICAL_SOLUTION,
+            chapter_id="chapter_01_technical_solution",
+            original_index=0,
+        )
+    ]
+
+
+def test_prepare_prompt_uses_tender_and_rag_when_available():
+    rag = DummyRagTool(
+        results=[
+            {"content": "系统采用云边端协同架构，边缘侧负责就近处理与缓存。", "score": 0.9},
+            {"content": "技术选型：容器化部署+统一监控告警+权限审计。", "score": 0.8},
+        ]
+    )
+    state = {
+        "technical_criteria": _criteria("供应商须提供总体架构设计方案，包含技术选型与安全策略。"),
+        "rag_tool": rag,
+    }
+
+    node = PrepareTechConsistencyPromptNode()
+    result = node.execute(state, NodeContext())
+
+    assert result["tech_consistency_source"] == "tender+rag"
+    prompt = result["tech_consistency_prompt"]
+    assert "招标技术要求摘录" in prompt
+    assert "知识库技术解决方案摘录" in prompt
+    assert "云边端协同" in prompt
+
+
+def test_prepare_prompt_falls_back_when_rag_missing():
+    rag = DummyRagTool(results=[])
+    state = {
+        "technical_criteria": _criteria("供应商须提供总体架构设计方案，包含技术选型与安全策略。"),
+        "rag_tool": rag,
+    }
+
+    node = PrepareTechConsistencyPromptNode()
+    result = node.execute(state, NodeContext())
+
+    assert result["tech_consistency_source"] == "fallback"
+    prompt = result["tech_consistency_prompt"]
+    assert "系统架构" in prompt
+    assert "技术选型" in prompt

tests/unit/test_toc_generation.py

@@ -9,8 +9,9 @@ from bidmaster.utils.document_context import DocumentContext, DocumentContextMat
 def test_generate_sub_chapters_uses_context(monkeypatch):
     captured = {}
 
-    def fake_generate(criteria_list, parent_chapter, context_snippets=None):
+    def fake_generate(criteria_list, parent_chapter, context_snippets=None, tech_consistency_prompt=None):
         captured["context"] = context_snippets
+        captured["consistency"] = tech_consistency_prompt
         return [{"title": "示例小节", "level": 2, "score": 5, "children": []}]
 
     class DummySearcher:
@@ -52,6 +53,7 @@ def test_generate_sub_chapters_uses_context(monkeypatch):
         "preliminary_chapters": [chapter],
         "technical_criteria": criteria,
         "document_context": DocumentContext("demo.docx", "test-model", []),
+        "tech_consistency_prompt": "统一术语：云边端协同/边缘节点/终端设备",
     }
 
     node = GenerateSubChaptersNode()
@@ -59,6 +61,7 @@ def test_generate_sub_chapters_uses_context(monkeypatch):
 
     assert result["preliminary_chapters"][0].children
     assert captured["context"] and "项目概述" in captured["context"][0]
+    assert "统一术语" in (captured["consistency"] or "")
 
 
 def test_user_feedback_auto_triggers_optimization():