feat(agent): Opening remarks and document citation function

api/app/schemas/app_schema.py

@@ -196,6 +196,13 @@ class CitationConfig(BaseModel):
     enabled: bool = Field(default=False)
 
 
+class Citation(BaseModel):
+    document_id: str
+    file_name: str
+    knowledge_id: str
+    score: float
+
+
 class WebSearchConfig(BaseModel):
     """联网搜索配置"""
     enabled: bool = Field(default=False)

api/app/services/draft_run_service.py

@@ -26,7 +26,7 @@ from app.core.rag.nlp.search import knowledge_retrieval
 from app.db import get_db_context
 from app.models import AgentConfig, ModelConfig, ModelType
 from app.repositories.tool_repository import ToolRepository
-from app.schemas.app_schema import FileInput
+from app.schemas.app_schema import FileInput, Citation
 from app.schemas.model_schema import ModelInfo
 from app.schemas.prompt_schema import PromptMessageRole, render_prompt_message
 from app.services import task_service
@@ -190,7 +190,7 @@ def create_web_search_tool(web_search_config: Dict[str, Any]):
     return web_search_tool
 
 
-def create_knowledge_retrieval_tool(kb_config, kb_ids, user_id, citations_collector: list = None):
+def create_knowledge_retrieval_tool(kb_config, kb_ids, user_id, citations_collector: Optional[List[Citation]] = None):
     """从知识库中检索相关信息。当用户的问题需要参考知识库、文档或历史记录时，使用此工具进行检索。
 
     Args:
@@ -198,6 +198,11 @@ def create_knowledge_retrieval_tool(kb_config, kb_ids, user_id, citations_collec
         kb_ids: 知识库ID列表
         user_id: 用户ID
         citations_collector: 用于收集引用信息的列表（由外部传入，tool 执行时填充）
+            列表元素类型为 Citation，包含字段：
+            - document_id: 文档唯一标识
+            - file_name: 文件名
+            - knowledge_id: 知识库 ID
+            - score: 检索相关性得分
 
     Returns:
         检索到的相关知识内容
@@ -238,12 +243,12 @@ def create_knowledge_retrieval_tool(kb_config, kb_ids, user_id, citations_collec
                         doc_id = meta.get("document_id") or meta.get("doc_id")
                         if doc_id and doc_id not in seen_doc_ids:
                             seen_doc_ids.add(doc_id)
-                            citations_collector.append({
-                                "document_id": doc_id,
-                                "file_name": meta.get("file_name", ""),
-                                "knowledge_id": str(meta.get("knowledge_id", "")),
-                                "score": meta.get("score", 0),
-                            })
+                            citations_collector.append(Citation(
+                                document_id=doc_id,
+                                file_name=meta.get("file_name", ""),
+                                knowledge_id=str(meta.get("knowledge_id", "")),
+                                score=meta.get("score", 0)
+                            ))
 
                 return f"检索到以下相关信息：\n\n{context}"
             else:
@@ -344,7 +349,7 @@ class AgentRunService:
         citations_collector = []
         tools = []
         knowledge_bases = knowledge_retrieval_config.get("knowledge_bases", [])
-        kb_ids = bool(knowledge_bases and knowledge_bases[0].get("kb_id"))
+        kb_ids = [kb["kb_id"] for kb in knowledge_bases if kb.get("kb_id")]
         if kb_ids:
             kb_tool = create_knowledge_retrieval_tool(
                 knowledge_retrieval_config, kb_ids, user_id,
@@ -457,12 +462,12 @@ class AgentRunService:
     @staticmethod
     def _filter_citations(
             features_config: Dict[str, Any],
-            citations: List[Any]
+            citations: List[Citation]
     ) -> List[Any]:
         """根据 citation 开关决定是否返回引用来源"""
         citation_cfg = features_config.get("citation", {})
         if isinstance(citation_cfg, dict) and citation_cfg.get("enabled"):
-            return citations
+            return [cit.model_dump() for cit in citations]
         return []
 
     async def run(