feat: default tender doc rag selection

Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>

src/bidmaster/agents/content_writer.py

@@ -3,11 +3,13 @@
 负责标书章节内容的自动填写（协调器模式）。
 """
 
+import json
 import logging
 from pathlib import Path
-from typing import Any, Dict
+from typing import Any, Dict, Optional
 
 from .single_chapter_agent import SingleChapterAgent
+from ..utils.document_context import DocumentContextBuilder, DocumentContextSearcher
 
 logger = logging.getLogger(__name__)
 
@@ -29,7 +31,12 @@ class ContentWriterAgent:
         """
         self.interaction_handler = interaction_handler
 
-    def write_content_sync(self, word_file: str) -> Dict[str, Any]:
+    def write_content_sync(
+        self,
+        word_file: str,
+        project_dir: Optional[str] = None,
+        tender_file: Optional[str] = None,
+    ) -> Dict[str, Any]:
         """同步执行内容填写
 
         Args:
@@ -54,11 +61,14 @@ class ContentWriterAgent:
 
         init_state = {
             "word_file": word_file,
+            "project_dir": str(project_dir) if project_dir else None,
         }
 
         state = init_node.execute(init_state, context)
         chapter_queue = state["chapter_queue"]
 
+        state = self._prepare_rag_sources(state, project_dir, tender_file)
+
         logger.info(f"共 {len(chapter_queue)} 个章节待处理")
         for i, ch in enumerate(chapter_queue):
             logger.info(f"  [{i+1}] {ch['id']} - {ch['title']} (level={ch['level']})")
@@ -128,3 +138,169 @@ class ContentWriterAgent:
         from .interaction import InteractionHandler, InteractionMode
         handler = InteractionHandler(mode=InteractionMode.INTERACTIVE)
         return cls(handler)
+
+    def _prepare_rag_sources(
+        self,
+        state: Dict[str, Any],
+        project_dir: Optional[str],
+        tender_file: Optional[str],
+    ) -> Dict[str, Any]:
+        """构建可用的RAG来源列表，并按需加载招标文件上下文。"""
+
+        tender_path = self._resolve_tender_source(project_dir, tender_file)
+        tender_info: Optional[Dict[str, Any]] = None
+
+        if tender_path:
+            tender_info = self._build_tender_searcher(state, tender_path)
+
+        if not tender_info:
+            prompted_path = self._prompt_for_tender_source()
+            if prompted_path:
+                tender_info = self._build_tender_searcher(state, prompted_path)
+
+        if tender_info:
+            state["tender_doc_source_file"] = tender_info["file_path"]
+            state["tender_doc_searcher"] = tender_info["searcher"]
+        else:
+            state.pop("tender_doc_source_file", None)
+            state.pop("tender_doc_searcher", None)
+
+        state["available_rag_sources"] = self._compose_available_sources(state, tender_info)
+        return state
+
+    def _resolve_tender_source(
+        self,
+        project_dir: Optional[str],
+        tender_file: Optional[str],
+    ) -> Optional[str]:
+        if tender_file:
+            path = Path(tender_file)
+            return str(path) if path.exists() else None
+
+        if not project_dir:
+            return None
+
+        analysis_file = Path(project_dir) / "analysis_result.json"
+        if not analysis_file.exists():
+            return None
+
+        try:
+            with open(analysis_file, "r", encoding="utf-8") as fp:
+                analysis_data = json.load(fp)
+        except Exception:
+            logger.warning("读取 analysis_result.json 失败，无法自动注入招标上下文")
+            return None
+
+        source_file = analysis_data.get("source_file")
+        if not source_file:
+            return None
+
+        source_path = Path(source_file)
+        if not source_path.exists():
+            logger.warning("analysis_result.json 中的招标文件不存在: %s", source_file)
+            return None
+
+        return str(source_path)
+
+    def _prompt_for_tender_source(self) -> Optional[str]:
+        if not self.interaction_handler:
+            return None
+
+        try:
+            should_provide = self.interaction_handler(
+                interaction_type="confirm",
+                prompt="未找到招标文件上下文，是否手动选择一个招标文件供RAG使用？",
+                default=False,
+                key="provide_tender_doc",
+            )
+        except Exception:
+            return None
+
+        if not should_provide:
+            return None
+
+        path = self.interaction_handler(
+            interaction_type="file_path",
+            prompt="请输入招标文件(.docx)路径",
+            default="",
+            key="tender_doc_path",
+            validation={"exists": True, "extensions": [".docx"]},
+        )
+        if not path:
+            return None
+        file_path = Path(path)
+        return str(file_path) if file_path.exists() else None
+
+    def _build_tender_searcher(
+        self,
+        state: Dict[str, Any],
+        tender_path: str,
+    ) -> Optional[Dict[str, Any]]:
+        try:
+            builder = DocumentContextBuilder()
+            document_context = builder.build(tender_path)
+            if document_context.is_empty():
+                logger.warning("招标文件未生成有效上下文: %s", tender_path)
+                return None
+
+            searcher = DocumentContextSearcher(document_context)
+            logger.info(
+                "已载入招标文件上下文: %s (%s段)",
+                Path(tender_path).name,
+                len(document_context.chunks),
+            )
+            return {
+                "file_path": tender_path,
+                "chunk_count": len(document_context.chunks),
+                "searcher": searcher,
+            }
+        except Exception as exc:
+            logger.warning("构建招标文件上下文失败: %s", exc)
+            return None
+
+    def _compose_available_sources(
+        self,
+        state: Dict[str, Any],
+        tender_info: Optional[Dict[str, Any]],
+    ) -> Dict[str, Dict[str, Any]]:
+        sources: Dict[str, Dict[str, Any]] = {}
+
+        if tender_info:
+            file_name = Path(tender_info["file_path"]).name
+            chunk_count = tender_info.get("chunk_count", 0)
+            sources["tender_doc"] = {
+                "id": "tender_doc",
+                "label": f"招标文件（{file_name}，{chunk_count}段）",
+                "available": True,
+                "default": True,
+            }
+        else:
+            sources["tender_doc"] = {
+                "id": "tender_doc",
+                "label": "招标文件（未配置）",
+                "available": False,
+                "default": False,
+            }
+
+        rag_tool = state.get("rag_tool")
+        kb_label = "知识库（未初始化）"
+        kb_available = False
+        kb_files = 0
+        if rag_tool:
+            try:
+                stats = rag_tool.get_stats()
+                kb_files = stats.get("total_files", 0)
+                chunks = stats.get("total_chunks", 0)
+                kb_label = f"知识库（{kb_files}个文档，{chunks}段）"
+                kb_available = True
+            except Exception:
+                kb_label = "知识库（统计失败）"
+
+        sources["global_kb"] = {
+            "id": "global_kb",
+            "label": kb_label,
+            "available": kb_available,
+            "default": not tender_info,
+        }
+
+        return sources

src/bidmaster/cli/write.py

@@ -36,7 +36,13 @@ def write():
     default="interactive",
     help="交互模式：interactive(交互)|silent(静默)",
 )
-def start(project_dir: str, mode: str):
+@click.option(
+    "--tender-file",
+    "-t",
+    type=click.Path(exists=True, dir_okay=False),
+    help="用于RAG的招标文件(.docx)",
+)
+def start(project_dir: str, mode: str, tender_file: str | None = None):
     """开始填写标书内容
 
     PROJECT_DIR: 项目目录路径（默认当前目录）
@@ -58,7 +64,8 @@ def start(project_dir: str, mode: str):
             console.print(f"❌ 项目目录不存在: {project_dir}", style="red")
             return
 
-        console.print(f"📁 项目目录: {project_path.absolute()}", style="dim")
+        project_abs_path = project_path.resolve()
+        console.print(f"📁 项目目录: {project_abs_path}", style="dim")
 
         # 自动查找Word文件
         word_file = _find_word_file(project_path)
@@ -68,6 +75,9 @@ def start(project_dir: str, mode: str):
         console.print(f"📄 找到Word文档: {Path(word_file).name}", style="green")
         console.print("📋 将直接从Word文档提取章节结构", style="dim")
 
+        # 规范化可选招标文件路径
+        tender_file_path = str(Path(tender_file).resolve()) if tender_file else None
+
         # 创建Agent
         if mode == "silent":
             agent = ContentWriterAgent.create_silent()
@@ -91,11 +101,19 @@ def start(project_dir: str, mode: str):
                 console=console,
             ) as progress:
                 task = progress.add_task("正在处理章节...", total=None)
-                result = agent.write_content_sync(word_file=word_file)
+                result = agent.write_content_sync(
+                    word_file=word_file,
+                    project_dir=str(project_abs_path),
+                    tender_file=tender_file_path,
+                )
                 progress.update(task, completed=True)
         else:
             # 交互模式：不使用Progress，避免覆盖用户输入
-            result = agent.write_content_sync(word_file=word_file)
+            result = agent.write_content_sync(
+                word_file=word_file,
+                project_dir=str(project_abs_path),
+                tender_file=tender_file_path,
+            )
 
         # 显示结果
         if result.get("success"):

src/bidmaster/config/settings.py

@@ -83,6 +83,7 @@ class Settings(BaseSettings):
     # Word填充配置
     max_sub_chapter_level: int = Field(default=3, description="子章节最大层级")
     rag_search_top_k: int = Field(default=3, description="RAG检索返回结果数量")
+    tender_doc_search_top_k: int = Field(default=3, description="招标文档检索返回结果数量")
     parent_context_length: int = Field(default=500, description="父章节上下文长度限制")
 
     # Word格式配置

src/bidmaster/nodes/content/generate_content.py

@@ -4,7 +4,7 @@
 """
 
 import logging
-from typing import Any, Dict, Optional
+from typing import Any, Dict, List, Optional
 
 from ..base import BaseNode, NodeContext
 from ...config.settings import get_settings
@@ -115,8 +115,9 @@ class GenerateContentNode(BaseNode):
         """
         return {
             "emphasis": "",
-            "rag_enabled": False,
+            "rag_enabled": True,
-            "rag_store": None
+            "rag_store": "tender_doc",
+            "rag_sources": ["tender_doc"],
         }
 
     def _find_chapter(self, state: Dict[str, Any], chapter_id: str) -> Optional[Dict[str, Any]]:
@@ -193,9 +194,8 @@ class GenerateContentNode(BaseNode):
         prompt_spec = planner.build_prompt_spec(chapter)
         generation_context = dict(prompt_spec)
 
-        # 如果启用RAG，添加上下文信息
+        # 如果启用RAG，按来源聚合上下文
         if config.get("rag_enabled"):
-            # 检索相关内容
             query_fragments = [chapter["title"]]
             if prompt_spec.get("emphasis"):
                 query_fragments.append(prompt_spec["emphasis"])
@@ -203,14 +203,22 @@ class GenerateContentNode(BaseNode):
                 query_fragments.append(prompt_spec["requirements_summary"][:120])
 
             query = " ".join(fragment for fragment in query_fragments if fragment)
-            search_results = rag_tool.search(query, k=settings.rag_search_top_k)
 
-            if search_results:
+            rag_sources = config.get("rag_sources") or self._default_rag_sources(state)
-                relevant_context = "\n\n".join([r["content"] for r in search_results])
+            config["rag_sources"] = rag_sources
-                generation_context["rag_context"] = relevant_context
+
-                logger.info(f"RAG检索到 {len(search_results)} 条相关内容")
+            aggregated_context: List[str] = []
+            for source_id in rag_sources:
+                if source_id == "tender_doc":
+                    aggregated_context.extend(self._search_tender_doc(state, query))
+                elif source_id == "global_kb":
+                    aggregated_context.extend(self._search_global_kb(state, rag_tool, query))
+                else:
+                    logger.warning("未知的RAG来源: %s", source_id)
+
+            if aggregated_context:
+                generation_context["rag_context"] = "\n\n".join(aggregated_context)
             else:
-                logger.warning("RAG未检索到相关内容")
                 generation_context["rag_context"] = ""
         else:
             generation_context["rag_context"] = ""
@@ -222,3 +230,68 @@ class GenerateContentNode(BaseNode):
         except Exception as e:
             logger.error(f"内容生成失败: {e}", exc_info=True)
             raise ValueError(f"章节 {chapter['id']} - {chapter['title']} 内容生成失败") from e
+
+    def _default_rag_sources(self, state: Dict[str, Any]) -> List[str]:
+        sources = state.get("available_rag_sources") or {}
+        preferred: List[str] = []
+        if sources.get("tender_doc", {}).get("available"):
+            preferred.append("tender_doc")
+        if sources.get("global_kb", {}).get("available"):
+            preferred.append("global_kb")
+        if preferred:
+            return preferred
+        if state.get("rag_tool"):
+            return ["global_kb"]
+        return []
+
+    def _search_tender_doc(self, state: Dict[str, Any], query: str) -> List[str]:
+        searcher = state.get("tender_doc_searcher")
+        if not searcher:
+            return []
+
+        top_k = getattr(settings, "tender_doc_search_top_k", settings.rag_search_top_k)
+        try:
+            matches = searcher.search(query, top_k)
+        except Exception as exc:
+            logger.warning("招标文件RAG检索失败: %s", exc)
+            return []
+
+        contexts: List[str] = []
+        for match in matches:
+            section = getattr(match, "section", "招标文件") or "招标文件"
+            text = getattr(match, "text", "")
+            if not text:
+                continue
+            contexts.append(f"【招标文件】{section}\n{text}")
+
+        if contexts:
+            logger.info("招标文件RAG检索到 %s 条内容", len(contexts))
+        else:
+            logger.warning("招标文件RAG未检索到相关内容")
+
+        return contexts
+
+    def _search_global_kb(self, state: Dict[str, Any], rag_tool, query: str) -> List[str]:
+        if not rag_tool:
+            return []
+
+        try:
+            results = rag_tool.search(query, k=settings.rag_search_top_k)
+        except Exception as exc:
+            logger.warning("知识库RAG检索失败: %s", exc)
+            return []
+
+        contexts: List[str] = []
+        for result in results or []:
+            content = result.get("content")
+            if not content:
+                continue
+            source = (result.get("metadata") or {}).get("source") or "知识库片段"
+            contexts.append(f"【知识库】{source}\n{content}")
+
+        if contexts:
+            logger.info("知识库RAG检索到 %s 条内容", len(contexts))
+        else:
+            logger.warning("知识库RAG未检索到相关内容")
+
+        return contexts

src/bidmaster/nodes/content/interact_user.py

@@ -4,7 +4,7 @@
 """
 
 import logging
-from typing import Any, Dict
+from typing import Any, Dict, List, Optional
 
 from ..base import BaseNode, NodeContext
 
@@ -80,17 +80,24 @@ class InteractWithUserNode(BaseNode):
         )
 
         use_rag = use_rag_response == "是"
-        rag_store = None
+        rag_sources: list[str] = []
+        rag_store: Optional[str] = None
 
         # 3. 如果使用RAG，选择知识库
         if use_rag:
-            rag_store = self._select_rag_store(interaction_handler, chapter_id, state)
+            rag_sources = self._select_rag_sources(interaction_handler, chapter_id, state)
+            if rag_sources:
+                rag_store = rag_sources[0]
+            else:
+                logger.warning("RAG已启用但没有可用的知识库来源，将自动禁用")
+                use_rag = False
 
         # 保存章节配置
         config = {
             "emphasis": emphasis.strip() if emphasis else "",
             "rag_enabled": use_rag,
             "rag_store": rag_store,
+            "rag_sources": rag_sources if use_rag else [],
         }
 
         state.setdefault("chapter_configs", {})[chapter_id] = config
@@ -102,45 +109,96 @@ class InteractWithUserNode(BaseNode):
 
         return state
 
-    def _select_rag_store(self, interaction_handler, chapter_id: str, state: Dict[str, Any]) -> str:
+    def _select_rag_sources(
-        """选择RAG知识库
+        self,
+        interaction_handler,
+        chapter_id: str,
+        state: Dict[str, Any],
+    ) -> list[str]:
+        available_sources = self._get_available_sources(state)
+        if not available_sources:
+            return []
 
-        Args:
+        ordered_ids = self._order_sources(available_sources)
-            interaction_handler: 交互处理器
+        selected: List[str] = []
-            chapter_id: 章节ID
-            state: 当前状态
 
-        Returns:
+        if "tender_doc" in available_sources and available_sources["tender_doc"].get("available"):
-            知识库标识
+            # 默认启用招标文件，不再询问主来源
-        """
+            selected.append("tender_doc")
-        # 从state获取RAGTool实例（由InitConfigNode统一初始化）
+            remaining = [sid for sid in ordered_ids if sid != "tender_doc"]
-        rag_tool = state.get("rag_tool")
+        else:
-        if not rag_tool:
+            # 无招标文件时，仍需选择主来源
-            raise ValueError("RAGTool未初始化，请检查InitConfigNode配置")
+            default_source = ordered_ids[0]
-
+            options = [
-        try:
+                (source_id, available_sources[source_id]["label"])
-            stats = rag_tool.get_stats()
+                for source_id in ordered_ids
-            total_chunks = stats.get("total_chunks", 0)
+            ]
-            total_files = stats.get("total_files", 0)
+            primary_choice = interaction_handler(
-
-            # 显示知识库统计信息
-            store_info = f"默认知识库 ({total_files}个文档, {total_chunks}个文档块)"
-
-            choice = interaction_handler(
                 interaction_type="choice",
-                prompt="选择知识库",
+                prompt="选择主要RAG来源",
-                options=[
+                options=options,
-                    ("default", store_info),
+                default=default_source,
-                    ("none", "不使用RAG")
+                key=f"rag_primary_{chapter_id}",
-                ],
+            )
-                default="default",
+            if primary_choice not in available_sources:
-                key=f"rag_store_{chapter_id}",
+                primary_choice = default_source
+            selected.append(primary_choice)
+            remaining = [sid for sid in ordered_ids if sid not in selected]
+
+        loop_index = 0
+        while remaining:
+            add_more = interaction_handler(
+                interaction_type="confirm",
+                prompt="是否追加其它RAG来源？",
+                default=False,
+                key=f"rag_additional_confirm_{chapter_id}_{loop_index}",
+            )
+            if not add_more:
+                break
+
+            add_options = [
+                (source_id, available_sources[source_id]["label"])
+                for source_id in remaining
+            ]
+            next_choice = interaction_handler(
+                interaction_type="choice",
+                prompt="选择需要追加的RAG来源",
+                options=add_options,
+                default=remaining[0],
+                key=f"rag_additional_choice_{chapter_id}_{loop_index}",
             )
 
-            if choice == "default":
+            if next_choice in remaining:
-                return "default"
+                selected.append(next_choice)
-            return None
+                remaining.remove(next_choice)
+            loop_index += 1
 
-        except Exception as e:
+        return selected
-            logger.error(f"获取知识库信息失败: {e}", exc_info=True)
+
-            raise ValueError("获取知识库信息失败，无法选择RAG存储") from e
+    def _get_available_sources(self, state: Dict[str, Any]) -> Dict[str, Dict[str, Any]]:
+        sources = state.get("available_rag_sources") or {}
+        usable = {sid: meta for sid, meta in sources.items() if meta.get("available")}
+
+        if usable:
+            return usable
+
+        if state.get("rag_tool"):
+            return {
+                "global_kb": {
+                    "id": "global_kb",
+                    "label": "知识库",
+                    "available": True,
+                    "default": True,
+                }
+            }
+
+        return {}
+
+    def _order_sources(self, sources: Dict[str, Dict[str, Any]]) -> list[str]:
+        return sorted(
+            sources.keys(),
+            key=lambda sid: (
+                not sources[sid].get("default", False),
+                sources[sid].get("label", sid),
+            ),
+        )

tests/unit/test_rag_selection.py

@@ -0,0 +1,173 @@
+"""Tests for multi-source RAG selection and aggregation."""
+
+from __future__ import annotations
+
+from typing import Any, Dict
+
+from bidmaster.nodes.base import NodeContext
+from bidmaster.nodes.content.generate_content import GenerateContentNode
+from bidmaster.nodes.content.interact_user import InteractWithUserNode
+from bidmaster.utils.document_context import DocumentContextMatch
+
+
+class StubInteractionHandler:
+    def __init__(self, responses: Dict[str, Any]):
+        self.responses = responses
+
+    def __call__(self, interaction_type: str, **kwargs):
+        key = kwargs.get("key")
+        if key and key in self.responses:
+            return self.responses[key]
+        return kwargs.get("default")
+
+
+def test_interact_user_allows_multiple_rag_sources():
+    chapter = {"id": "chapter_1", "title": "概述", "level": 1}
+    responses = {
+        "emphasis_chapter_1": "",
+        "use_rag_chapter_1": "是",
+        "rag_additional_confirm_chapter_1_0": True,
+        "rag_additional_choice_chapter_1_0": "global_kb",
+    }
+    handler = StubInteractionHandler(responses)
+
+    state: Dict[str, Any] = {
+        "needs_interaction": True,
+        "current_chapter": chapter,
+        "chapter_configs": {},
+        "interaction_handler": handler,
+        "available_rag_sources": {
+            "tender_doc": {
+                "id": "tender_doc",
+                "label": "招标文件",
+                "available": True,
+                "default": True,
+            },
+            "global_kb": {
+                "id": "global_kb",
+                "label": "知识库",
+                "available": True,
+                "default": False,
+            },
+        },
+    }
+
+    node = InteractWithUserNode()
+    node.execute(state, NodeContext())
+
+    config = state["chapter_configs"][chapter["id"]]
+    assert config["rag_enabled"] is True
+    assert config["rag_sources"] == ["tender_doc", "global_kb"]
+
+
+def test_interact_user_disables_rag_without_sources():
+    chapter = {"id": "chapter_1", "title": "概述", "level": 1}
+    responses = {
+        "emphasis_chapter_1": "",
+        "use_rag_chapter_1": "是",
+    }
+    handler = StubInteractionHandler(responses)
+
+    state: Dict[str, Any] = {
+        "needs_interaction": True,
+        "current_chapter": chapter,
+        "chapter_configs": {},
+        "interaction_handler": handler,
+        "available_rag_sources": {},
+    }
+
+    node = InteractWithUserNode()
+    node.execute(state, NodeContext())
+
+    config = state["chapter_configs"][chapter["id"]]
+    assert config["rag_enabled"] is False
+    assert config["rag_sources"] == []
+
+
+def test_interact_user_prompts_for_primary_when_no_tender_doc():
+    chapter = {"id": "chapter_1", "title": "概述", "level": 1}
+    responses = {
+        "emphasis_chapter_1": "",
+        "use_rag_chapter_1": "是",
+        "rag_primary_chapter_1": "global_kb",
+    }
+    handler = StubInteractionHandler(responses)
+
+    state: Dict[str, Any] = {
+        "needs_interaction": True,
+        "current_chapter": chapter,
+        "chapter_configs": {},
+        "interaction_handler": handler,
+        "available_rag_sources": {
+            "global_kb": {
+                "id": "global_kb",
+                "label": "知识库",
+                "available": True,
+                "default": True,
+            }
+        },
+    }
+
+    node = InteractWithUserNode()
+    node.execute(state, NodeContext())
+
+    config = state["chapter_configs"][chapter["id"]]
+    assert config["rag_enabled"] is True
+    assert config["rag_sources"] == ["global_kb"]
+
+
+class DummyTenderSearcher:
+    def search(self, query: str, top_k: int):  # pragma: no cover - simple stub
+        return [
+            DocumentContextMatch(
+                text="Tender snippet",
+                section="章节一",
+                score=0.9,
+                source_type="paragraph",
+                metadata={},
+            )
+        ]
+
+
+class DummyRagTool:
+    def __init__(self):
+        self.last_context: Dict[str, Any] | None = None
+
+    def search(self, query: str, k: int):  # pragma: no cover - simple stub
+        return [{"content": "KB snippet", "metadata": {"source": "kb.docx"}}]
+
+    def generate_content(self, task_id: str, context: Dict[str, Any]):
+        self.last_context = context
+        return "generated"
+
+
+def test_generate_content_merges_multiple_sources():
+    chapter = {"id": "chapter_1", "title": "概述", "level": 1}
+    rag_tool = DummyRagTool()
+    state: Dict[str, Any] = {
+        "current_chapter": chapter,
+        "chapter_queue": [chapter],
+        "chapter_configs": {
+            "chapter_1": {
+                "rag_enabled": True,
+                "rag_sources": ["tender_doc", "global_kb"],
+            }
+        },
+        "chapter_children_map": {},
+        "generated_contents": {},
+        "rag_tool": rag_tool,
+        "tender_doc_searcher": DummyTenderSearcher(),
+        "available_rag_sources": {
+            "tender_doc": {"available": True},
+            "global_kb": {"available": True},
+        },
+    }
+
+    node = GenerateContentNode()
+    node.execute(state, NodeContext())
+
+    assert state["generated_contents"]["chapter_1"] == "generated"
+    assert rag_tool.last_context is not None
+    rag_context = rag_tool.last_context.get("rag_context")
+    assert "【招标文件】" in rag_context
+    assert "【知识库】" in rag_context