Merge pull request #428 from Ghostubborn/feat/i18n

feat(i18n): 添加多语言切换功能，支持中英文

backend/app/api/graph.py

@@ -15,6 +15,7 @@ from ..services.graph_builder import GraphBuilderService
 from ..services.text_processor import TextProcessor
 from ..utils.file_parser import FileParser
 from ..utils.logger import get_logger
+from ..utils.locale import t, get_locale, set_locale
 from ..models.task import TaskManager, TaskStatus
 from ..models.project import ProjectManager, ProjectStatus
 
@@ -42,9 +43,9 @@ def get_project(project_id: str):
     if not project:
         return jsonify({
             "success": False,
-            "error": f"项目不存在: {project_id}"
+            "error": t('api.projectNotFound', id=project_id)
         }), 404
-    
+
     return jsonify({
         "success": True,
         "data": project.to_dict()
@@ -76,12 +77,12 @@ def delete_project(project_id: str):
     if not success:
         return jsonify({
             "success": False,
-            "error": f"项目不存在或删除失败: {project_id}"
+            "error": t('api.projectDeleteFailed', id=project_id)
         }), 404
-    
+
     return jsonify({
         "success": True,
-        "message": f"项目已删除: {project_id}"
+        "message": t('api.projectDeleted', id=project_id)
     })
 
 
@@ -95,9 +96,9 @@ def reset_project(project_id: str):
     if not project:
         return jsonify({
             "success": False,
-            "error": f"项目不存在: {project_id}"
+            "error": t('api.projectNotFound', id=project_id)
         }), 404
-    
+
     # 重置到本体已生成状态
     if project.ontology:
         project.status = ProjectStatus.ONTOLOGY_GENERATED
@@ -111,7 +112,7 @@ def reset_project(project_id: str):
     
     return jsonify({
         "success": True,
-        "message": f"项目已重置: {project_id}",
+        "message": t('api.projectReset', id=project_id),
         "data": project.to_dict()
     })
 
@@ -160,7 +161,7 @@ def generate_ontology():
         if not simulation_requirement:
             return jsonify({
                 "success": False,
-                "error": "请提供模拟需求描述 (simulation_requirement)"
+                "error": t('api.requireSimulationRequirement')
             }), 400
         
         # 获取上传的文件
@@ -168,7 +169,7 @@ def generate_ontology():
         if not uploaded_files or all(not f.filename for f in uploaded_files):
             return jsonify({
                 "success": False,
-                "error": "请至少上传一个文档文件"
+                "error": t('api.requireFileUpload')
             }), 400
         
         # 创建项目
@@ -203,7 +204,7 @@ def generate_ontology():
             ProjectManager.delete_project(project.project_id)
             return jsonify({
                 "success": False,
-                "error": "没有成功处理任何文档，请检查文件格式"
+                "error": t('api.noDocProcessed')
             }), 400
         
         # 保存提取的文本
@@ -285,12 +286,12 @@ def build_graph():
         # 检查配置
         errors = []
         if not Config.ZEP_API_KEY:
-            errors.append("ZEP_API_KEY未配置")
+            errors.append(t('api.zepApiKeyMissing'))
         if errors:
             logger.error(f"配置错误: {errors}")
             return jsonify({
                 "success": False,
-                "error": "配置错误: " + "; ".join(errors)
+                "error": t('api.configError', details="; ".join(errors))
             }), 500
         
         # 解析请求
@@ -301,7 +302,7 @@ def build_graph():
         if not project_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 project_id"
+                "error": t('api.requireProjectId')
             }), 400
         
         # 获取项目
@@ -309,22 +310,22 @@ def build_graph():
         if not project:
             return jsonify({
                 "success": False,
-                "error": f"项目不存在: {project_id}"
+                "error": t('api.projectNotFound', id=project_id)
             }), 404
-        
+
         # 检查项目状态
         force = data.get('force', False)  # 强制重新构建
         
         if project.status == ProjectStatus.CREATED:
             return jsonify({
                 "success": False,
-                "error": "项目尚未生成本体，请先调用 /ontology/generate"
+                "error": t('api.ontologyNotGenerated')
             }), 400
         
         if project.status == ProjectStatus.GRAPH_BUILDING and not force:
             return jsonify({
                 "success": False,
-                "error": "图谱正在构建中，请勿重复提交。如需强制重建，请添加 force: true",
+                "error": t('api.graphBuilding'),
                 "task_id": project.graph_build_task_id
             }), 400
         
@@ -349,7 +350,7 @@ def build_graph():
         if not text:
             return jsonify({
                 "success": False,
-                "error": "未找到提取的文本内容"
+                "error": t('api.textNotFound')
             }), 400
         
         # 获取本体
@@ -357,7 +358,7 @@ def build_graph():
         if not ontology:
             return jsonify({
                 "success": False,
-                "error": "未找到本体定义"
+                "error": t('api.ontologyNotFound')
             }), 400
         
         # 创建异步任务
@@ -370,15 +371,19 @@ def build_graph():
         project.graph_build_task_id = task_id
         ProjectManager.save_project(project)
         
+        # Capture locale before spawning background thread
+        current_locale = get_locale()
+
         # 启动后台任务
         def build_task():
+            set_locale(current_locale)
             build_logger = get_logger('mirofish.build')
             try:
                 build_logger.info(f"[{task_id}] 开始构建图谱...")
                 task_manager.update_task(
                     task_id, 
                     status=TaskStatus.PROCESSING,
-                    message="初始化图谱构建服务..."
+                    message=t('progress.initGraphService')
                 )
                 
                 # 创建图谱构建服务
@@ -387,7 +392,7 @@ def build_graph():
                 # 分块
                 task_manager.update_task(
                     task_id,
-                    message="文本分块中...",
+                    message=t('progress.textChunking'),
                     progress=5
                 )
                 chunks = TextProcessor.split_text(
@@ -400,7 +405,7 @@ def build_graph():
                 # 创建图谱
                 task_manager.update_task(
                     task_id,
-                    message="创建Zep图谱...",
+                    message=t('progress.creatingZepGraph'),
                     progress=10
                 )
                 graph_id = builder.create_graph(name=graph_name)
@@ -412,7 +417,7 @@ def build_graph():
                 # 设置本体
                 task_manager.update_task(
                     task_id,
-                    message="设置本体定义...",
+                    message=t('progress.settingOntology'),
                     progress=15
                 )
                 builder.set_ontology(graph_id, ontology)
@@ -428,7 +433,7 @@ def build_graph():
                 
                 task_manager.update_task(
                     task_id,
-                    message=f"开始添加 {total_chunks} 个文本块...",
+                    message=t('progress.addingChunks', count=total_chunks),
                     progress=15
                 )
                 
@@ -442,7 +447,7 @@ def build_graph():
                 # 等待Zep处理完成（查询每个episode的processed状态）
                 task_manager.update_task(
                     task_id,
-                    message="等待Zep处理数据...",
+                    message=t('progress.waitingZepProcess'),
                     progress=55
                 )
                 
@@ -459,7 +464,7 @@ def build_graph():
                 # 获取图谱数据
                 task_manager.update_task(
                     task_id,
-                    message="获取图谱数据...",
+                    message=t('progress.fetchingGraphData'),
                     progress=95
                 )
                 graph_data = builder.get_graph_data(graph_id)
@@ -476,7 +481,7 @@ def build_graph():
                 task_manager.update_task(
                     task_id,
                     status=TaskStatus.COMPLETED,
-                    message="图谱构建完成",
+                    message=t('progress.graphBuildComplete'),
                     progress=100,
                     result={
                         "project_id": project_id,
@@ -499,7 +504,7 @@ def build_graph():
                 task_manager.update_task(
                     task_id,
                     status=TaskStatus.FAILED,
-                    message=f"构建失败: {str(e)}",
+                    message=t('progress.buildFailed', error=str(e)),
                     error=traceback.format_exc()
                 )
         
@@ -512,7 +517,7 @@ def build_graph():
             "data": {
                 "project_id": project_id,
                 "task_id": task_id,
-                "message": "图谱构建任务已启动，请通过 /task/{task_id} 查询进度"
+                "message": t('api.graphBuildStarted', taskId=task_id)
             }
         })
         
@@ -536,7 +541,7 @@ def get_task(task_id: str):
     if not task:
         return jsonify({
             "success": False,
-            "error": f"任务不存在: {task_id}"
+            "error": t('api.taskNotFound', id=task_id)
         }), 404
     
     return jsonify({
@@ -570,7 +575,7 @@ def get_graph_data(graph_id: str):
         if not Config.ZEP_API_KEY:
             return jsonify({
                 "success": False,
-                "error": "ZEP_API_KEY未配置"
+                "error": t('api.zepApiKeyMissing')
             }), 500
         
         builder = GraphBuilderService(api_key=Config.ZEP_API_KEY)
@@ -598,7 +603,7 @@ def delete_graph(graph_id: str):
         if not Config.ZEP_API_KEY:
             return jsonify({
                 "success": False,
-                "error": "ZEP_API_KEY未配置"
+                "error": t('api.zepApiKeyMissing')
             }), 500
         
         builder = GraphBuilderService(api_key=Config.ZEP_API_KEY)
@@ -606,7 +611,7 @@ def delete_graph(graph_id: str):
         
         return jsonify({
             "success": True,
-            "message": f"图谱已删除: {graph_id}"
+            "message": t('api.graphDeleted', id=graph_id)
         })
         
     except Exception as e:

backend/app/api/report.py

@@ -15,6 +15,7 @@ from ..services.simulation_manager import SimulationManager
 from ..models.project import ProjectManager
 from ..models.task import TaskManager, TaskStatus
 from ..utils.logger import get_logger
+from ..utils.locale import t, get_locale, set_locale
 
 logger = get_logger('mirofish.api.report')
 
@@ -53,9 +54,9 @@ def generate_report():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
-        
+
         force_regenerate = data.get('force_regenerate', False)
         
         # 获取模拟信息
@@ -65,9 +66,9 @@ def generate_report():
         if not state:
             return jsonify({
                 "success": False,
-                "error": f"模拟不存在: {simulation_id}"
+                "error": t('api.simulationNotFound', id=simulation_id)
             }), 404
-        
+
         # 检查是否已有报告
         if not force_regenerate:
             existing_report = ReportManager.get_report_by_simulation(simulation_id)
@@ -78,7 +79,7 @@ def generate_report():
                         "simulation_id": simulation_id,
                         "report_id": existing_report.report_id,
                         "status": "completed",
-                        "message": "报告已存在",
+                        "message": t('api.reportAlreadyExists'),
                         "already_generated": True
                     }
                 })
@@ -88,21 +89,21 @@ def generate_report():
         if not project:
             return jsonify({
                 "success": False,
-                "error": f"项目不存在: {state.project_id}"
+                "error": t('api.projectNotFound', id=state.project_id)
             }), 404
         
         graph_id = state.graph_id or project.graph_id
         if not graph_id:
             return jsonify({
                 "success": False,
-                "error": "缺少图谱ID，请确保已构建图谱"
+                "error": t('api.missingGraphIdEnsure')
             }), 400
         
         simulation_requirement = project.simulation_requirement
         if not simulation_requirement:
             return jsonify({
                 "success": False,
-                "error": "缺少模拟需求描述"
+                "error": t('api.missingSimRequirement')
             }), 400
         
         # 提前生成 report_id，以便立即返回给前端
@@ -120,14 +121,18 @@ def generate_report():
             }
         )
         
+        # Capture locale before spawning background thread
+        current_locale = get_locale()
+
         # 定义后台任务
         def run_generate():
+            set_locale(current_locale)
             try:
                 task_manager.update_task(
                     task_id,
                     status=TaskStatus.PROCESSING,
                     progress=0,
-                    message="初始化Report Agent..."
+                    message=t('api.initReportAgent')
                 )
                 
                 # 创建Report Agent
@@ -164,7 +169,7 @@ def generate_report():
                         }
                     )
                 else:
-                    task_manager.fail_task(task_id, report.error or "报告生成失败")
+                    task_manager.fail_task(task_id, report.error or t('api.reportGenerateFailed'))
                 
             except Exception as e:
                 logger.error(f"报告生成失败: {str(e)}")
@@ -181,7 +186,7 @@ def generate_report():
                 "report_id": report_id,
                 "task_id": task_id,
                 "status": "generating",
-                "message": "报告生成任务已启动，请通过 /api/report/generate/status 查询进度",
+                "message": t('api.reportGenerateStarted'),
                 "already_generated": False
             }
         })
@@ -234,7 +239,7 @@ def get_generate_status():
                         "report_id": existing_report.report_id,
                         "status": "completed",
                         "progress": 100,
-                        "message": "报告已生成",
+                        "message": t('api.reportGenerated'),
                         "already_completed": True
                     }
                 })
@@ -242,7 +247,7 @@ def get_generate_status():
         if not task_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 task_id 或 simulation_id"
+                "error": t('api.requireTaskOrSimId')
             }), 400
         
         task_manager = TaskManager()
@@ -251,7 +256,7 @@ def get_generate_status():
         if not task:
             return jsonify({
                 "success": False,
-                "error": f"任务不存在: {task_id}"
+                "error": t('api.taskNotFound', id=task_id)
             }), 404
         
         return jsonify({
@@ -294,7 +299,7 @@ def get_report(report_id: str):
         if not report:
             return jsonify({
                 "success": False,
-                "error": f"报告不存在: {report_id}"
+                "error": t('api.reportNotFound', id=report_id)
             }), 404
         
         return jsonify({
@@ -331,7 +336,7 @@ def get_report_by_simulation(simulation_id: str):
         if not report:
             return jsonify({
                 "success": False,
-                "error": f"该模拟暂无报告: {simulation_id}",
+                "error": t('api.noReportForSim', id=simulation_id),
                 "has_report": False
             }), 404
         
@@ -403,7 +408,7 @@ def download_report(report_id: str):
         if not report:
             return jsonify({
                 "success": False,
-                "error": f"报告不存在: {report_id}"
+                "error": t('api.reportNotFound', id=report_id)
             }), 404
         
         md_path = ReportManager._get_report_markdown_path(report_id)
@@ -445,12 +450,12 @@ def delete_report(report_id: str):
         if not success:
             return jsonify({
                 "success": False,
-                "error": f"报告不存在: {report_id}"
+                "error": t('api.reportNotFound', id=report_id)
             }), 404
         
         return jsonify({
             "success": True,
-            "message": f"报告已删除: {report_id}"
+            "message": t('api.reportDeleted', id=report_id)
         })
         
     except Exception as e:
@@ -501,13 +506,13 @@ def chat_with_report_agent():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
-        
+
         if not message:
             return jsonify({
                 "success": False,
-                "error": "请提供 message"
+                "error": t('api.requireMessage')
             }), 400
         
         # 获取模拟和项目信息
@@ -517,21 +522,21 @@ def chat_with_report_agent():
         if not state:
             return jsonify({
                 "success": False,
-                "error": f"模拟不存在: {simulation_id}"
+                "error": t('api.simulationNotFound', id=simulation_id)
             }), 404
-        
+
         project = ProjectManager.get_project(state.project_id)
         if not project:
             return jsonify({
                 "success": False,
-                "error": f"项目不存在: {state.project_id}"
+                "error": t('api.projectNotFound', id=state.project_id)
             }), 404
         
         graph_id = state.graph_id or project.graph_id
         if not graph_id:
             return jsonify({
                 "success": False,
-                "error": "缺少图谱ID"
+                "error": t('api.missingGraphId')
             }), 400
         
         simulation_requirement = project.simulation_requirement or ""
@@ -585,7 +590,7 @@ def get_report_progress(report_id: str):
         if not progress:
             return jsonify({
                 "success": False,
-                "error": f"报告不存在或进度信息不可用: {report_id}"
+                "error": t('api.reportProgressNotAvail', id=report_id)
             }), 404
         
         return jsonify({
@@ -673,7 +678,7 @@ def get_single_section(report_id: str, section_index: int):
         if not os.path.exists(section_path):
             return jsonify({
                 "success": False,
-                "error": f"章节不存在: section_{section_index:02d}.md"
+                "error": t('api.sectionNotFound', index=f"{section_index:02d}")
             }), 404
         
         with open(section_path, 'r', encoding='utf-8') as f:
@@ -949,7 +954,7 @@ def search_graph_tool():
         if not graph_id or not query:
             return jsonify({
                 "success": False,
-                "error": "请提供 graph_id 和 query"
+                "error": t('api.requireGraphIdAndQuery')
             }), 400
         
         from ..services.zep_tools import ZepToolsService
@@ -993,7 +998,7 @@ def get_graph_statistics_tool():
         if not graph_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 graph_id"
+                "error": t('api.requireGraphId')
             }), 400
         
         from ..services.zep_tools import ZepToolsService

backend/app/api/simulation.py

@@ -14,6 +14,7 @@ from ..services.oasis_profile_generator import OasisProfileGenerator
 from ..services.simulation_manager import SimulationManager, SimulationStatus
 from ..services.simulation_runner import SimulationRunner, RunnerStatus
 from ..utils.logger import get_logger
+from ..utils.locale import t, get_locale, set_locale
 from ..models.project import ProjectManager
 
 logger = get_logger('mirofish.api.simulation')
@@ -59,7 +60,7 @@ def get_graph_entities(graph_id: str):
         if not Config.ZEP_API_KEY:
             return jsonify({
                 "success": False,
-                "error": "ZEP_API_KEY未配置"
+                "error": t('api.zepApiKeyMissing')
             }), 500
         
         entity_types_str = request.args.get('entity_types', '')
@@ -96,7 +97,7 @@ def get_entity_detail(graph_id: str, entity_uuid: str):
         if not Config.ZEP_API_KEY:
             return jsonify({
                 "success": False,
-                "error": "ZEP_API_KEY未配置"
+                "error": t('api.zepApiKeyMissing')
             }), 500
         
         reader = ZepEntityReader()
@@ -105,7 +106,7 @@ def get_entity_detail(graph_id: str, entity_uuid: str):
         if not entity:
             return jsonify({
                 "success": False,
-                "error": f"实体不存在: {entity_uuid}"
+                "error": t('api.entityNotFound', id=entity_uuid)
             }), 404
         
         return jsonify({
@@ -129,7 +130,7 @@ def get_entities_by_type(graph_id: str, entity_type: str):
         if not Config.ZEP_API_KEY:
             return jsonify({
                 "success": False,
-                "error": "ZEP_API_KEY未配置"
+                "error": t('api.zepApiKeyMissing')
             }), 500
         
         enrich = request.args.get('enrich', 'true').lower() == 'true'
@@ -197,21 +198,21 @@ def create_simulation():
         if not project_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 project_id"
+                "error": t('api.requireProjectId')
             }), 400
         
         project = ProjectManager.get_project(project_id)
         if not project:
             return jsonify({
                 "success": False,
-                "error": f"项目不存在: {project_id}"
+                "error": t('api.projectNotFound', id=project_id)
             }), 404
         
         graph_id = data.get('graph_id') or project.graph_id
         if not graph_id:
             return jsonify({
                 "success": False,
-                "error": "项目尚未构建图谱，请先调用 /api/graph/build"
+                "error": t('api.graphNotBuilt')
             }), 400
         
         manager = SimulationManager()
@@ -408,7 +409,7 @@ def prepare_simulation():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
         
         manager = SimulationManager()
@@ -417,7 +418,7 @@ def prepare_simulation():
         if not state:
             return jsonify({
                 "success": False,
-                "error": f"模拟不存在: {simulation_id}"
+                "error": t('api.simulationNotFound', id=simulation_id)
             }), 404
         
         # 检查是否强制重新生成
@@ -436,7 +437,7 @@ def prepare_simulation():
                     "data": {
                         "simulation_id": simulation_id,
                         "status": "ready",
-                        "message": "已有完成的准备工作，无需重复生成",
+                        "message": t('api.alreadyPrepared'),
                         "already_prepared": True,
                         "prepare_info": prepare_info
                     }
@@ -449,7 +450,7 @@ def prepare_simulation():
         if not project:
             return jsonify({
                 "success": False,
-                "error": f"项目不存在: {state.project_id}"
+                "error": t('api.projectNotFound', id=state.project_id)
             }), 404
         
         # 获取模拟需求
@@ -457,7 +458,7 @@ def prepare_simulation():
         if not simulation_requirement:
             return jsonify({
                 "success": False,
-                "error": "项目缺少模拟需求描述 (simulation_requirement)"
+                "error": t('api.projectMissingRequirement')
             }), 400
         
         # 获取文档文本
@@ -500,14 +501,18 @@ def prepare_simulation():
         state.status = SimulationStatus.PREPARING
         manager._save_simulation_state(state)
         
+        # Capture locale before spawning background thread
+        current_locale = get_locale()
+
         # 定义后台任务
         def run_prepare():
+            set_locale(current_locale)
             try:
                 task_manager.update_task(
                     task_id,
                     status=TaskStatus.PROCESSING,
                     progress=0,
-                    message="开始准备模拟环境..."
+                    message=t('progress.startPreparingEnv')
                 )
                 
                 # 准备模拟（带进度回调）
@@ -528,10 +533,10 @@ def prepare_simulation():
                     
                     # 构建详细进度信息
                     stage_names = {
-                        "reading": "读取图谱实体",
-                        "generating_profiles": "生成Agent人设",
-                        "generating_config": "生成模拟配置",
-                        "copying_scripts": "准备模拟脚本"
+                        "reading": t('progress.readingGraphEntities'),
+                        "generating_profiles": t('progress.generatingProfiles'),
+                        "generating_config": t('progress.generatingSimConfig'),
+                        "copying_scripts": t('progress.preparingScripts')
                     }
                     
                     stage_index = list(stage_weights.keys()).index(stage) + 1 if stage in stage_weights else 1
@@ -612,7 +617,7 @@ def prepare_simulation():
                 "simulation_id": simulation_id,
                 "task_id": task_id,
                 "status": "preparing",
-                "message": "准备任务已启动，请通过 /api/simulation/prepare/status 查询进度",
+                "message": t('api.prepareStarted'),
                 "already_prepared": False,
                 "expected_entities_count": state.entities_count,  # 预期的Agent总数
                 "entity_types": state.entity_types  # 实体类型列表
@@ -680,7 +685,7 @@ def get_prepare_status():
                         "simulation_id": simulation_id,
                         "status": "ready",
                         "progress": 100,
-                        "message": "已有完成的准备工作",
+                        "message": t('api.alreadyPrepared'),
                         "already_prepared": True,
                         "prepare_info": prepare_info
                     }
@@ -696,13 +701,13 @@ def get_prepare_status():
                         "simulation_id": simulation_id,
                         "status": "not_started",
                         "progress": 0,
-                        "message": "尚未开始准备，请调用 /api/simulation/prepare 开始",
+                        "message": t('api.notStartedPrepare'),
                         "already_prepared": False
                     }
                 })
             return jsonify({
                 "success": False,
-                "error": "请提供 task_id 或 simulation_id"
+                "error": t('api.requireTaskOrSimId')
             }), 400
         
         task_manager = TaskManager()
@@ -720,7 +725,7 @@ def get_prepare_status():
                             "task_id": task_id,
                             "status": "ready",
                             "progress": 100,
-                            "message": "任务已完成（准备工作已存在）",
+                            "message": t('api.taskCompletedPrepared'),
                             "already_prepared": True,
                             "prepare_info": prepare_info
                         }
@@ -728,7 +733,7 @@ def get_prepare_status():
             
             return jsonify({
                 "success": False,
-                "error": f"任务不存在: {task_id}"
+                "error": t('api.taskNotFound', id=task_id)
             }), 404
         
         task_dict = task.to_dict()
@@ -757,7 +762,7 @@ def get_simulation(simulation_id: str):
         if not state:
             return jsonify({
                 "success": False,
-                "error": f"模拟不存在: {simulation_id}"
+                "error": t('api.simulationNotFound', id=simulation_id)
             }), 404
         
         result = state.to_dict()
@@ -1061,7 +1066,7 @@ def get_simulation_profiles_realtime(simulation_id: str):
         if not os.path.exists(sim_dir):
             return jsonify({
                 "success": False,
-                "error": f"模拟不存在: {simulation_id}"
+                "error": t('api.simulationNotFound', id=simulation_id)
             }), 404
         
         # 确定文件路径
@@ -1164,7 +1169,7 @@ def get_simulation_config_realtime(simulation_id: str):
         if not os.path.exists(sim_dir):
             return jsonify({
                 "success": False,
-                "error": f"模拟不存在: {simulation_id}"
+                "error": t('api.simulationNotFound', id=simulation_id)
             }), 404
         
         # 配置文件路径
@@ -1269,7 +1274,7 @@ def get_simulation_config(simulation_id: str):
         if not config:
             return jsonify({
                 "success": False,
-                "error": f"模拟配置不存在，请先调用 /prepare 接口"
+                "error": t('api.configNotFound')
             }), 404
         
         return jsonify({
@@ -1297,7 +1302,7 @@ def download_simulation_config(simulation_id: str):
         if not os.path.exists(config_path):
             return jsonify({
                 "success": False,
-                "error": "配置文件不存在，请先调用 /prepare 接口"
+                "error": t('api.configFileNotFound')
             }), 404
         
         return send_file(
@@ -1341,7 +1346,7 @@ def download_simulation_script(script_name: str):
         if script_name not in allowed_scripts:
             return jsonify({
                 "success": False,
-                "error": f"未知脚本: {script_name}，可选: {allowed_scripts}"
+                "error": t('api.unknownScript', name=script_name, allowed=allowed_scripts)
             }), 400
         
         script_path = os.path.join(scripts_dir, script_name)
@@ -1349,7 +1354,7 @@ def download_simulation_script(script_name: str):
         if not os.path.exists(script_path):
             return jsonify({
                 "success": False,
-                "error": f"脚本文件不存在: {script_name}"
+                "error": t('api.scriptFileNotFound', name=script_name)
             }), 404
         
         return send_file(
@@ -1389,7 +1394,7 @@ def generate_profiles():
         if not graph_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 graph_id"
+                "error": t('api.requireGraphId')
             }), 400
         
         entity_types = data.get('entity_types')
@@ -1406,7 +1411,7 @@ def generate_profiles():
         if filtered.filtered_count == 0:
             return jsonify({
                 "success": False,
-                "error": "没有找到符合条件的实体"
+                "error": t('api.noMatchingEntities')
             }), 400
         
         generator = OasisProfileGenerator()
@@ -1491,7 +1496,7 @@ def start_simulation():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
 
         platform = data.get('platform', 'parallel')
@@ -1506,18 +1511,18 @@ def start_simulation():
                 if max_rounds <= 0:
                     return jsonify({
                         "success": False,
-                        "error": "max_rounds 必须是正整数"
+                        "error": t('api.maxRoundsPositive')
                     }), 400
             except (ValueError, TypeError):
                 return jsonify({
                     "success": False,
-                    "error": "max_rounds 必须是有效的整数"
+                    "error": t('api.maxRoundsInvalid')
                 }), 400
 
         if platform not in ['twitter', 'reddit', 'parallel']:
             return jsonify({
                 "success": False,
-                "error": f"无效的平台类型: {platform}，可选: twitter/reddit/parallel"
+                "error": t('api.invalidPlatform', platform=platform)
             }), 400
 
         # 检查模拟是否已准备好
@@ -1527,7 +1532,7 @@ def start_simulation():
         if not state:
             return jsonify({
                 "success": False,
-                "error": f"模拟不存在: {simulation_id}"
+                "error": t('api.simulationNotFound', id=simulation_id)
             }), 404
 
         force_restarted = False
@@ -1554,7 +1559,7 @@ def start_simulation():
                         else:
                             return jsonify({
                                 "success": False,
-                                "error": f"模拟正在运行中，请先调用 /stop 接口停止，或使用 force=true 强制重新开始"
+                                "error": t('api.simRunningForceHint')
                             }), 400
 
                 # 如果是强制模式，清理运行日志
@@ -1573,7 +1578,7 @@ def start_simulation():
                 # 准备工作未完成
                 return jsonify({
                     "success": False,
-                    "error": f"模拟未准备好，当前状态: {state.status.value}，请先调用 /prepare 接口"
+                    "error": t('api.simNotReady', status=state.status.value)
                 }), 400
         
         # 获取图谱ID（用于图谱记忆更新）
@@ -1590,7 +1595,7 @@ def start_simulation():
             if not graph_id:
                 return jsonify({
                     "success": False,
-                    "error": "启用图谱记忆更新需要有效的 graph_id，请确保项目已构建图谱"
+                    "error": t('api.graphIdRequiredForMemory')
                 }), 400
             
             logger.info(f"启用图谱记忆更新: simulation_id={simulation_id}, graph_id={graph_id}")
@@ -1663,7 +1668,7 @@ def stop_simulation():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
         
         run_state = SimulationRunner.stop_simulation(simulation_id)
@@ -2011,7 +2016,7 @@ def get_simulation_posts(simulation_id: str):
                     "platform": platform,
                     "count": 0,
                     "posts": [],
-                    "message": "数据库不存在，模拟可能尚未运行"
+                    "message": t('api.dbNotExist')
                 }
             })
         
@@ -2197,33 +2202,33 @@ def interview_agent():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
         
         if agent_id is None:
             return jsonify({
                 "success": False,
-                "error": "请提供 agent_id"
+                "error": t('api.requireAgentId')
             }), 400
         
         if not prompt:
             return jsonify({
                 "success": False,
-                "error": "请提供 prompt（采访问题）"
+                "error": t('api.requirePrompt')
             }), 400
         
         # 验证platform参数
         if platform and platform not in ("twitter", "reddit"):
             return jsonify({
                 "success": False,
-                "error": "platform 参数只能是 'twitter' 或 'reddit'"
+                "error": t('api.invalidInterviewPlatform')
             }), 400
         
         # 检查环境状态
         if not SimulationRunner.check_env_alive(simulation_id):
             return jsonify({
                 "success": False,
-                "error": "模拟环境未运行或已关闭。请确保模拟已完成并进入等待命令模式。"
+                "error": t('api.envNotRunning')
             }), 400
         
         # 优化prompt，添加前缀避免Agent调用工具
@@ -2251,7 +2256,7 @@ def interview_agent():
     except TimeoutError as e:
         return jsonify({
             "success": False,
-            "error": f"等待Interview响应超时: {str(e)}"
+            "error": t('api.interviewTimeout', error=str(e))
         }), 504
         
     except Exception as e:
@@ -2318,20 +2323,20 @@ def interview_agents_batch():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
 
         if not interviews or not isinstance(interviews, list):
             return jsonify({
                 "success": False,
-                "error": "请提供 interviews（采访列表）"
+                "error": t('api.requireInterviews')
             }), 400
 
         # 验证platform参数
         if platform and platform not in ("twitter", "reddit"):
             return jsonify({
                 "success": False,
-                "error": "platform 参数只能是 'twitter' 或 'reddit'"
+                "error": t('api.invalidInterviewPlatform')
             }), 400
 
         # 验证每个采访项
@@ -2339,26 +2344,26 @@ def interview_agents_batch():
             if 'agent_id' not in interview:
                 return jsonify({
                     "success": False,
-                    "error": f"采访列表第{i+1}项缺少 agent_id"
+                    "error": t('api.interviewListMissingAgentId', index=i+1)
                 }), 400
             if 'prompt' not in interview:
                 return jsonify({
                     "success": False,
-                    "error": f"采访列表第{i+1}项缺少 prompt"
+                    "error": t('api.interviewListMissingPrompt', index=i+1)
                 }), 400
             # 验证每项的platform（如果有）
             item_platform = interview.get('platform')
             if item_platform and item_platform not in ("twitter", "reddit"):
                 return jsonify({
                     "success": False,
-                    "error": f"采访列表第{i+1}项的platform只能是 'twitter' 或 'reddit'"
+                    "error": t('api.interviewListInvalidPlatform', index=i+1)
                 }), 400
 
         # 检查环境状态
         if not SimulationRunner.check_env_alive(simulation_id):
             return jsonify({
                 "success": False,
-                "error": "模拟环境未运行或已关闭。请确保模拟已完成并进入等待命令模式。"
+                "error": t('api.envNotRunning')
             }), 400
 
         # 优化每个采访项的prompt，添加前缀避免Agent调用工具
@@ -2389,7 +2394,7 @@ def interview_agents_batch():
     except TimeoutError as e:
         return jsonify({
             "success": False,
-            "error": f"等待批量Interview响应超时: {str(e)}"
+            "error": t('api.batchInterviewTimeout', error=str(e))
         }), 504
 
     except Exception as e:
@@ -2445,27 +2450,27 @@ def interview_all_agents():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
 
         if not prompt:
             return jsonify({
                 "success": False,
-                "error": "请提供 prompt（采访问题）"
+                "error": t('api.requirePrompt')
             }), 400
 
         # 验证platform参数
         if platform and platform not in ("twitter", "reddit"):
             return jsonify({
                 "success": False,
-                "error": "platform 参数只能是 'twitter' 或 'reddit'"
+                "error": t('api.invalidInterviewPlatform')
             }), 400
 
         # 检查环境状态
         if not SimulationRunner.check_env_alive(simulation_id):
             return jsonify({
                 "success": False,
-                "error": "模拟环境未运行或已关闭。请确保模拟已完成并进入等待命令模式。"
+                "error": t('api.envNotRunning')
             }), 400
 
         # 优化prompt，添加前缀避免Agent调用工具
@@ -2492,7 +2497,7 @@ def interview_all_agents():
     except TimeoutError as e:
         return jsonify({
             "success": False,
-            "error": f"等待全局Interview响应超时: {str(e)}"
+            "error": t('api.globalInterviewTimeout', error=str(e))
         }), 504
 
     except Exception as e:
@@ -2549,7 +2554,7 @@ def get_interview_history():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
 
         history = SimulationRunner.get_interview_history(
@@ -2608,7 +2613,7 @@ def get_env_status():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
 
         env_alive = SimulationRunner.check_env_alive(simulation_id)
@@ -2617,9 +2622,9 @@ def get_env_status():
         env_status = SimulationRunner.get_env_status_detail(simulation_id)
 
         if env_alive:
-            message = "环境正在运行，可以接收Interview命令"
+            message = t('api.envRunning')
         else:
-            message = "环境未运行或已关闭"
+            message = t('api.envNotRunningShort')
 
         return jsonify({
             "success": True,
@@ -2676,7 +2681,7 @@ def close_simulation_env():
         if not simulation_id:
             return jsonify({
                 "success": False,
-                "error": "请提供 simulation_id"
+                "error": t('api.requireSimulationId')
             }), 400
         
         result = SimulationRunner.close_simulation_env(

backend/app/models/task.py

@@ -10,6 +10,8 @@ from enum import Enum
 from typing import Dict, Any, Optional
 from dataclasses import dataclass, field
 
+from ..utils.locale import t
+
 
 class TaskStatus(str, Enum):
     """任务状态枚举"""
@@ -148,7 +150,7 @@ class TaskManager:
             task_id,
             status=TaskStatus.COMPLETED,
             progress=100,
-            message="任务完成",
+            message=t('progress.taskComplete'),
             result=result
         )
     
@@ -157,7 +159,7 @@ class TaskManager:
         self.update_task(
             task_id,
             status=TaskStatus.FAILED,
-            message="任务失败",
+            message=t('progress.taskFailed'),
             error=error
         )
     

backend/app/services/graph_builder.py

@@ -17,6 +17,7 @@ from ..config import Config
 from ..models.task import TaskManager, TaskStatus
 from ..utils.zep_paging import fetch_all_nodes, fetch_all_edges
 from .text_processor import TextProcessor
+from ..utils.locale import t, get_locale, set_locale
 
 
 @dataclass
@@ -83,10 +84,13 @@ class GraphBuilderService:
             }
         )
         
+        # Capture locale before spawning background thread
+        current_locale = get_locale()
+
         # 在后台线程中执行构建
         thread = threading.Thread(
             target=self._build_graph_worker,
-            args=(task_id, text, ontology, graph_name, chunk_size, chunk_overlap, batch_size)
+            args=(task_id, text, ontology, graph_name, chunk_size, chunk_overlap, batch_size, current_locale)
         )
         thread.daemon = True
         thread.start()
@@ -101,15 +105,17 @@ class GraphBuilderService:
         graph_name: str,
         chunk_size: int,
         chunk_overlap: int,
-        batch_size: int
+        batch_size: int,
+        locale: str = 'zh'
     ):
         """图谱构建工作线程"""
+        set_locale(locale)
         try:
             self.task_manager.update_task(
                 task_id,
                 status=TaskStatus.PROCESSING,
                 progress=5,
-                message="开始构建图谱..."
+                message=t('progress.startBuildingGraph')
             )
             
             # 1. 创建图谱
@@ -117,7 +123,7 @@ class GraphBuilderService:
             self.task_manager.update_task(
                 task_id,
                 progress=10,
-                message=f"图谱已创建: {graph_id}"
+                message=t('progress.graphCreated', graphId=graph_id)
             )
             
             # 2. 设置本体
@@ -125,7 +131,7 @@ class GraphBuilderService:
             self.task_manager.update_task(
                 task_id,
                 progress=15,
-                message="本体已设置"
+                message=t('progress.ontologySet')
             )
             
             # 3. 文本分块
@@ -134,7 +140,7 @@ class GraphBuilderService:
             self.task_manager.update_task(
                 task_id,
                 progress=20,
-                message=f"文本已分割为 {total_chunks} 个块"
+                message=t('progress.textSplit', count=total_chunks)
             )
             
             # 4. 分批发送数据
@@ -151,7 +157,7 @@ class GraphBuilderService:
             self.task_manager.update_task(
                 task_id,
                 progress=60,
-                message="等待Zep处理数据..."
+                message=t('progress.waitingZepProcess')
             )
             
             self._wait_for_episodes(
@@ -167,7 +173,7 @@ class GraphBuilderService:
             self.task_manager.update_task(
                 task_id,
                 progress=90,
-                message="获取图谱信息..."
+                message=t('progress.fetchingGraphInfo')
             )
             
             graph_info = self._get_graph_info(graph_id)
@@ -304,7 +310,7 @@ class GraphBuilderService:
             if progress_callback:
                 progress = (i + len(batch_chunks)) / total_chunks
                 progress_callback(
-                    f"发送第 {batch_num}/{total_batches} 批数据 ({len(batch_chunks)} 块)...",
+                    t('progress.sendingBatch', current=batch_num, total=total_batches, chunks=len(batch_chunks)),
                     progress
                 )
             
@@ -333,7 +339,7 @@ class GraphBuilderService:
                 
             except Exception as e:
                 if progress_callback:
-                    progress_callback(f"批次 {batch_num} 发送失败: {str(e)}", 0)
+                    progress_callback(t('progress.batchFailed', batch=batch_num, error=str(e)), 0)
                 raise
         
         return episode_uuids
@@ -347,7 +353,7 @@ class GraphBuilderService:
         """等待所有 episode 处理完成（通过查询每个 episode 的 processed 状态）"""
         if not episode_uuids:
             if progress_callback:
-                progress_callback("无需等待（没有 episode）", 1.0)
+                progress_callback(t('progress.noEpisodesWait'), 1.0)
             return
         
         start_time = time.time()
@@ -356,13 +362,13 @@ class GraphBuilderService:
         total_episodes = len(episode_uuids)
         
         if progress_callback:
-            progress_callback(f"开始等待 {total_episodes} 个文本块处理...", 0)
+            progress_callback(t('progress.waitingEpisodes', count=total_episodes), 0)
         
         while pending_episodes:
             if time.time() - start_time > timeout:
                 if progress_callback:
                     progress_callback(
-                        f"部分文本块超时，已完成 {completed_count}/{total_episodes}",
+                        t('progress.episodesTimeout', completed=completed_count, total=total_episodes),
                         completed_count / total_episodes
                     )
                 break
@@ -384,7 +390,7 @@ class GraphBuilderService:
             elapsed = int(time.time() - start_time)
             if progress_callback:
                 progress_callback(
-                    f"Zep处理中... {completed_count}/{total_episodes} 完成, {len(pending_episodes)} 待处理 ({elapsed}秒)",
+                    t('progress.zepProcessing', completed=completed_count, total=total_episodes, pending=len(pending_episodes), elapsed=elapsed),
                     completed_count / total_episodes if total_episodes > 0 else 0
                 )
             
@@ -392,7 +398,7 @@ class GraphBuilderService:
                 time.sleep(3)  # 每3秒检查一次
         
         if progress_callback:
-            progress_callback(f"处理完成: {completed_count}/{total_episodes}", 1.0)
+            progress_callback(t('progress.processingComplete', completed=completed_count, total=total_episodes), 1.0)
     
     def _get_graph_info(self, graph_id: str) -> GraphInfo:
         """获取图谱信息"""

backend/app/services/oasis_profile_generator.py

@@ -20,6 +20,7 @@ from zep_cloud.client import Zep
 
 from ..config import Config
 from ..utils.logger import get_logger
+from ..utils.locale import get_language_instruction, get_locale, set_locale, t
 from .zep_entity_reader import EntityNode, ZepEntityReader
 
 logger = get_logger('mirofish.oasis_profile')
@@ -313,7 +314,7 @@ class OasisProfileGenerator:
             logger.debug(f"跳过Zep检索：未设置graph_id")
             return results
         
-        comprehensive_query = f"关于{entity_name}的所有信息、活动、事件、关系和背景"
+        comprehensive_query = t('progress.zepSearchQuery', name=entity_name)
         
         def search_edges():
             """搜索边（事实/关系）- 带重试机制"""
@@ -670,8 +671,8 @@ class OasisProfileGenerator:
     
     def _get_system_prompt(self, is_individual: bool) -> str:
         """获取系统提示词"""
-        base_prompt = "你是社交媒体用户画像生成专家。生成详细、真实的人设用于舆论模拟,最大程度还原已有现实情况。必须返回有效的JSON格式，所有字符串值不能包含未转义的换行符。使用中文。"
-        return base_prompt
+        base_prompt = "你是社交媒体用户画像生成专家。生成详细、真实的人设用于舆论模拟,最大程度还原已有现实情况。必须返回有效的JSON格式，所有字符串值不能包含未转义的换行符。"
+        return f"{base_prompt}\n\n{get_language_instruction()}"
     
     def _build_individual_persona_prompt(
         self,
@@ -717,7 +718,7 @@ class OasisProfileGenerator:
 重要:
 - 所有字段值必须是字符串或数字，不要使用换行符
 - persona必须是一段连贯的文字描述
-- 使用中文（除了gender字段必须用英文male/female）
+- {get_language_instruction()} (gender字段必须用英文male/female)
 - 内容要与实体信息保持一致
 - age必须是有效的整数，gender必须是"male"或"female"
 """
@@ -766,7 +767,7 @@ class OasisProfileGenerator:
 重要:
 - 所有字段值必须是字符串或数字，不允许null值
 - persona必须是一段连贯的文字描述，不要使用换行符
-- 使用中文（除了gender字段必须用英文"other"）
+- {get_language_instruction()} (gender字段必须用英文"other")
 - age必须是整数30，gender必须是字符串"other"
 - 机构账号发言要符合其身份定位"""
     
@@ -915,8 +916,12 @@ class OasisProfileGenerator:
                 except Exception as e:
                     logger.warning(f"实时保存 profiles 失败: {e}")
         
+        # Capture locale before spawning thread pool workers
+        current_locale = get_locale()
+
         def generate_single_profile(idx: int, entity: EntityNode) -> tuple:
             """生成单个profile的工作函数"""
+            set_locale(current_locale)
             entity_type = entity.get_entity_type() or "Entity"
             
             try:
@@ -1017,7 +1022,7 @@ class OasisProfileGenerator:
         
         output_lines = [
             f"\n{separator}",
-            f"[已生成] {entity_name} ({entity_type})",
+            t('progress.profileGenerated', name=entity_name, type=entity_type),
             f"{separator}",
             f"用户名: {profile.user_name}",
             f"",

backend/app/services/ontology_generator.py

@@ -8,6 +8,7 @@ import logging
 import re
 from typing import Dict, Any, List, Optional
 from ..utils.llm_client import LLMClient
+from ..utils.locale import get_language_instruction
 
 logger = logging.getLogger(__name__)
 
@@ -83,7 +84,7 @@ ONTOLOGY_SYSTEM_PROMPT = """你是一个专业的知识图谱本体设计专家
             "attributes": []
         }
     ],
-    "analysis_summary": "对文本内容的简要分析说明（中文）"
+    "analysis_summary": "对文本内容的简要分析说明"
 }
 ```
 
@@ -205,8 +206,10 @@ class OntologyGenerator:
             additional_context
         )
         
+        lang_instruction = get_language_instruction()
+        system_prompt = f"{ONTOLOGY_SYSTEM_PROMPT}\n\n{lang_instruction}\nIMPORTANT: Entity type names MUST be in English PascalCase (e.g., 'PersonEntity', 'MediaOrganization'). Relationship type names MUST be in English UPPER_SNAKE_CASE (e.g., 'WORKS_FOR'). Attribute names MUST be in English snake_case. Only description fields and analysis_summary should use the specified language above."
         messages = [
-            {"role": "system", "content": ONTOLOGY_SYSTEM_PROMPT},
+            {"role": "system", "content": system_prompt},
             {"role": "user", "content": user_message}
         ]
         

backend/app/services/report_agent.py

@@ -21,6 +21,7 @@ from enum import Enum
 from ..config import Config
 from ..utils.llm_client import LLMClient
 from ..utils.logger import get_logger
+from ..utils.locale import get_language_instruction, t
 from .zep_tools import (
     ZepToolsService, 
     SearchResult, 
@@ -105,7 +106,7 @@ class ReportLogger:
                 "simulation_id": simulation_id,
                 "graph_id": graph_id,
                 "simulation_requirement": simulation_requirement,
-                "message": "报告生成任务开始"
+                "message": t('report.taskStarted')
             }
         )
     
@@ -114,7 +115,7 @@ class ReportLogger:
         self.log(
             action="planning_start",
             stage="planning",
-            details={"message": "开始规划报告大纲"}
+            details={"message": t('report.planningStart')}
         )
     
     def log_planning_context(self, context: Dict[str, Any]):
@@ -123,7 +124,7 @@ class ReportLogger:
             action="planning_context",
             stage="planning",
             details={
-                "message": "获取模拟上下文信息",
+                "message": t('report.fetchSimContext'),
                 "context": context
             }
         )
@@ -134,7 +135,7 @@ class ReportLogger:
             action="planning_complete",
             stage="planning",
             details={
-                "message": "大纲规划完成",
+                "message": t('report.planningComplete'),
                 "outline": outline_dict
             }
         )
@@ -146,7 +147,7 @@ class ReportLogger:
             stage="generating",
             section_title=section_title,
             section_index=section_index,
-            details={"message": f"开始生成章节: {section_title}"}
+            details={"message": t('report.sectionStart', title=section_title)}
         )
     
     def log_react_thought(self, section_title: str, section_index: int, iteration: int, thought: str):
@@ -159,7 +160,7 @@ class ReportLogger:
             details={
                 "iteration": iteration,
                 "thought": thought,
-                "message": f"ReACT 第{iteration}轮思考"
+                "message": t('report.reactThought', iteration=iteration)
             }
         )
     
@@ -181,7 +182,7 @@ class ReportLogger:
                 "iteration": iteration,
                 "tool_name": tool_name,
                 "parameters": parameters,
-                "message": f"调用工具: {tool_name}"
+                "message": t('report.toolCall', toolName=tool_name)
             }
         )
     
@@ -204,7 +205,7 @@ class ReportLogger:
                 "tool_name": tool_name,
                 "result": result,  # 完整结果，不截断
                 "result_length": len(result),
-                "message": f"工具 {tool_name} 返回结果"
+                "message": t('report.toolResult', toolName=tool_name)
             }
         )
     
@@ -229,7 +230,7 @@ class ReportLogger:
                 "response_length": len(response),
                 "has_tool_calls": has_tool_calls,
                 "has_final_answer": has_final_answer,
-                "message": f"LLM 响应 (工具调用: {has_tool_calls}, 最终答案: {has_final_answer})"
+                "message": t('report.llmResponse', hasToolCalls=has_tool_calls, hasFinalAnswer=has_final_answer)
             }
         )
     
@@ -250,7 +251,7 @@ class ReportLogger:
                 "content": content,  # 完整内容，不截断
                 "content_length": len(content),
                 "tool_calls_count": tool_calls_count,
-                "message": f"章节 {section_title} 内容生成完成"
+                "message": t('report.sectionContentDone', title=section_title)
             }
         )
     
@@ -273,7 +274,7 @@ class ReportLogger:
             details={
                 "content": full_content,
                 "content_length": len(full_content),
-                "message": f"章节 {section_title} 生成完成"
+                "message": t('report.sectionComplete', title=section_title)
             }
         )
     
@@ -285,7 +286,7 @@ class ReportLogger:
             details={
                 "total_sections": total_sections,
                 "total_time_seconds": round(total_time_seconds, 2),
-                "message": "报告生成完成"
+                "message": t('report.reportComplete')
             }
         )
     
@@ -298,7 +299,7 @@ class ReportLogger:
             section_index=None,
             details={
                 "error": error_message,
-                "message": f"发生错误: {error_message}"
+                "message": t('report.errorOccurred', error=error_message)
             }
         )
 
@@ -652,9 +653,9 @@ SECTION_SYSTEM_PROMPT_TEMPLATE = """\
    - 这些引用是模拟预测的核心证据
 
 3. 【语言一致性 - 引用内容必须翻译为报告语言】
-   - 工具返回的内容可能包含英文或中英文混杂的表述
-   - 如果模拟需求和材料原文是中文的，报告必须全部使用中文撰写
-   - 当你引用工具返回的英文或中英混杂内容时，必须将其翻译为流畅的中文后再写入报告
+   - 工具返回的内容可能包含与报告语言不同的表述
+   - 报告必须全部使用与用户指定语言一致的语言撰写
+   - 当你引用工具返回的其他语言内容时，必须将其翻译为报告语言后再写入
    - 翻译时保持原意不变，确保表述自然通顺
    - 这一规则同时适用于正文和引用块（> 格式）中的内容
 
@@ -913,7 +914,7 @@ class ReportAgent:
         # 控制台日志记录器（在 generate_report 中初始化）
         self.console_logger: Optional[ReportConsoleLogger] = None
         
-        logger.info(f"ReportAgent 初始化完成: graph_id={graph_id}, simulation_id={simulation_id}")
+        logger.info(t('report.agentInitDone', graphId=graph_id, simulationId=simulation_id))
     
     def _define_tools(self) -> Dict[str, Dict[str, Any]]:
         """定义可用工具"""
@@ -964,7 +965,7 @@ class ReportAgent:
         Returns:
             工具执行结果（文本格式）
         """
-        logger.info(f"执行工具: {tool_name}, 参数: {parameters}")
+        logger.info(t('report.executingTool', toolName=tool_name, params=parameters))
         
         try:
             if tool_name == "insight_forge":
@@ -1023,7 +1024,7 @@ class ReportAgent:
             
             elif tool_name == "search_graph":
                 # 重定向到 quick_search
-                logger.info("search_graph 已重定向到 quick_search")
+                logger.info(t('report.redirectToQuickSearch'))
                 return self._execute_tool("quick_search", parameters, report_context)
             
             elif tool_name == "get_graph_statistics":
@@ -1040,7 +1041,7 @@ class ReportAgent:
             
             elif tool_name == "get_simulation_context":
                 # 重定向到 insight_forge，因为它更强大
-                logger.info("get_simulation_context 已重定向到 insight_forge")
+                logger.info(t('report.redirectToInsightForge'))
                 query = parameters.get("query", self.simulation_requirement)
                 return self._execute_tool("insight_forge", {"query": query}, report_context)
             
@@ -1057,7 +1058,7 @@ class ReportAgent:
                 return f"未知工具: {tool_name}。请使用以下工具之一: insight_forge, panorama_search, quick_search"
                 
         except Exception as e:
-            logger.error(f"工具执行失败: {tool_name}, 错误: {str(e)}")
+            logger.error(t('report.toolExecFailed', toolName=tool_name, error=str(e)))
             return f"工具执行失败: {str(e)}"
     
     # 合法的工具名称集合，用于裸 JSON 兜底解析时校验
@@ -1148,10 +1149,10 @@ class ReportAgent:
         Returns:
             ReportOutline: 报告大纲
         """
-        logger.info("开始规划报告大纲...")
+        logger.info(t('report.startPlanningOutline'))
         
         if progress_callback:
-            progress_callback("planning", 0, "正在分析模拟需求...")
+            progress_callback("planning", 0, t('progress.analyzingRequirements'))
         
         # 首先获取模拟上下文
         context = self.zep_tools.get_simulation_context(
@@ -1160,9 +1161,9 @@ class ReportAgent:
         )
         
         if progress_callback:
-            progress_callback("planning", 30, "正在生成报告大纲...")
+            progress_callback("planning", 30, t('progress.generatingOutline'))
         
-        system_prompt = PLAN_SYSTEM_PROMPT
+        system_prompt = f"{PLAN_SYSTEM_PROMPT}\n\n{get_language_instruction()}"
         user_prompt = PLAN_USER_PROMPT_TEMPLATE.format(
             simulation_requirement=self.simulation_requirement,
             total_nodes=context.get('graph_statistics', {}).get('total_nodes', 0),
@@ -1182,7 +1183,7 @@ class ReportAgent:
             )
             
             if progress_callback:
-                progress_callback("planning", 80, "正在解析大纲结构...")
+                progress_callback("planning", 80, t('progress.parsingOutline'))
             
             # 解析大纲
             sections = []
@@ -1199,13 +1200,13 @@ class ReportAgent:
             )
             
             if progress_callback:
-                progress_callback("planning", 100, "大纲规划完成")
+                progress_callback("planning", 100, t('progress.outlinePlanComplete'))
             
-            logger.info(f"大纲规划完成: {len(sections)} 个章节")
+            logger.info(t('report.outlinePlanDone', count=len(sections)))
             return outline
             
         except Exception as e:
-            logger.error(f"大纲规划失败: {str(e)}")
+            logger.error(t('report.outlinePlanFailed', error=str(e)))
             # 返回默认大纲（3个章节，作为fallback）
             return ReportOutline(
                 title="未来预测报告",
@@ -1245,7 +1246,7 @@ class ReportAgent:
         Returns:
             章节内容（Markdown格式）
         """
-        logger.info(f"ReACT生成章节: {section.title}")
+        logger.info(t('report.reactGenerateSection', title=section.title))
         
         # 记录章节开始日志
         if self.report_logger:
@@ -1258,6 +1259,7 @@ class ReportAgent:
             section_title=section.title,
             tools_description=self._get_tools_description(),
         )
+        system_prompt = f"{system_prompt}\n\n{get_language_instruction()}"
 
         # 构建用户prompt - 每个已完成章节各传入最大4000字
         if previous_sections:
@@ -1296,7 +1298,7 @@ class ReportAgent:
                 progress_callback(
                     "generating", 
                     int((iteration / max_iterations) * 100),
-                    f"深度检索与撰写中 ({tool_calls_count}/{self.MAX_TOOL_CALLS_PER_SECTION})"
+                    t('progress.deepSearchAndWrite', current=tool_calls_count, max=self.MAX_TOOL_CALLS_PER_SECTION)
                 )
             
             # 调用LLM
@@ -1308,7 +1310,7 @@ class ReportAgent:
 
             # 检查 LLM 返回是否为 None（API 异常或内容为空）
             if response is None:
-                logger.warning(f"章节 {section.title} 第 {iteration + 1} 次迭代: LLM 返回 None")
+                logger.warning(t('report.sectionIterNone', title=section.title, iteration=iteration + 1))
                 # 如果还有迭代次数，添加消息并重试
                 if iteration < max_iterations - 1:
                     messages.append({"role": "assistant", "content": "（响应为空）"})
@@ -1328,8 +1330,7 @@ class ReportAgent:
             if has_tool_calls and has_final_answer:
                 conflict_retries += 1
                 logger.warning(
-                    f"章节 {section.title} 第 {iteration+1} 轮: "
-                    f"LLM 同时输出工具调用和 Final Answer（第 {conflict_retries} 次冲突）"
+                    t('report.sectionConflict', title=section.title, iteration=iteration+1, conflictCount=conflict_retries)
                 )
 
                 if conflict_retries <= 2:
@@ -1349,8 +1350,7 @@ class ReportAgent:
                 else:
                     # 第三次：降级处理，截断到第一个工具调用，强制执行
                     logger.warning(
-                        f"章节 {section.title}: 连续 {conflict_retries} 次冲突，"
-                        "降级为截断执行第一个工具调用"
+                        t('report.sectionConflictDowngrade', title=section.title, conflictCount=conflict_retries)
                     )
                     first_tool_end = response.find('</tool_call>')
                     if first_tool_end != -1:
@@ -1390,7 +1390,7 @@ class ReportAgent:
 
                 # 正常结束
                 final_answer = response.split("Final Answer:")[-1].strip()
-                logger.info(f"章节 {section.title} 生成完成（工具调用: {tool_calls_count}次）")
+                logger.info(t('report.sectionGenDone', title=section.title, count=tool_calls_count))
 
                 if self.report_logger:
                     self.report_logger.log_section_content(
@@ -1418,7 +1418,7 @@ class ReportAgent:
                 # 只执行第一个工具调用
                 call = tool_calls[0]
                 if len(tool_calls) > 1:
-                    logger.info(f"LLM 尝试调用 {len(tool_calls)} 个工具，只执行第一个: {call['name']}")
+                    logger.info(t('report.multiToolOnlyFirst', total=len(tool_calls), toolName=call['name']))
 
                 if self.report_logger:
                     self.report_logger.log_tool_call(
@@ -1487,7 +1487,7 @@ class ReportAgent:
 
             # 工具调用已足够，LLM 输出了内容但没带 "Final Answer:" 前缀
             # 直接将这段内容作为最终答案，不再空转
-            logger.info(f"章节 {section.title} 未检测到 'Final Answer:' 前缀，直接采纳LLM输出作为最终内容（工具调用: {tool_calls_count}次）")
+            logger.info(t('report.sectionNoPrefix', title=section.title, count=tool_calls_count))
             final_answer = response.strip()
 
             if self.report_logger:
@@ -1500,7 +1500,7 @@ class ReportAgent:
             return final_answer
         
         # 达到最大迭代次数，强制生成内容
-        logger.warning(f"章节 {section.title} 达到最大迭代次数，强制生成")
+        logger.warning(t('report.sectionMaxIter', title=section.title))
         messages.append({"role": "user", "content": REACT_FORCE_FINAL_MSG})
         
         response = self.llm.chat(
@@ -1511,8 +1511,8 @@ class ReportAgent:
 
         # 检查强制收尾时 LLM 返回是否为 None
         if response is None:
-            logger.error(f"章节 {section.title} 强制收尾时 LLM 返回 None，使用默认错误提示")
-            final_answer = f"（本章节生成失败：LLM 返回空响应，请稍后重试）"
+            logger.error(t('report.sectionForceFailed', title=section.title))
+            final_answer = t('report.sectionGenFailedContent')
         elif "Final Answer:" in response:
             final_answer = response.split("Final Answer:")[-1].strip()
         else:
@@ -1590,7 +1590,7 @@ class ReportAgent:
             self.console_logger = ReportConsoleLogger(report_id)
             
             ReportManager.update_progress(
-                report_id, "pending", 0, "初始化报告...",
+                report_id, "pending", 0, t('progress.initReport'),
                 completed_sections=[]
             )
             ReportManager.save_report(report)
@@ -1598,7 +1598,7 @@ class ReportAgent:
             # 阶段1: 规划大纲
             report.status = ReportStatus.PLANNING
             ReportManager.update_progress(
-                report_id, "planning", 5, "开始规划报告大纲...",
+                report_id, "planning", 5, t('progress.startPlanningOutline'),
                 completed_sections=[]
             )
             
@@ -1606,7 +1606,7 @@ class ReportAgent:
             self.report_logger.log_planning_start()
             
             if progress_callback:
-                progress_callback("planning", 0, "开始规划报告大纲...")
+                progress_callback("planning", 0, t('progress.startPlanningOutline'))
             
             outline = self.plan_outline(
                 progress_callback=lambda stage, prog, msg: 
@@ -1620,12 +1620,12 @@ class ReportAgent:
             # 保存大纲到文件
             ReportManager.save_outline(report_id, outline)
             ReportManager.update_progress(
-                report_id, "planning", 15, f"大纲规划完成，共{len(outline.sections)}个章节",
+                report_id, "planning", 15, t('progress.outlineDone', count=len(outline.sections)),
                 completed_sections=[]
             )
             ReportManager.save_report(report)
             
-            logger.info(f"大纲已保存到文件: {report_id}/outline.json")
+            logger.info(t('report.outlineSavedToFile', reportId=report_id))
             
             # 阶段2: 逐章节生成（分章节保存）
             report.status = ReportStatus.GENERATING
@@ -1640,16 +1640,16 @@ class ReportAgent:
                 # 更新进度
                 ReportManager.update_progress(
                     report_id, "generating", base_progress,
-                    f"正在生成章节: {section.title} ({section_num}/{total_sections})",
+                    t('progress.generatingSection', title=section.title, current=section_num, total=total_sections),
                     current_section=section.title,
                     completed_sections=completed_section_titles
                 )
-                
+
                 if progress_callback:
                     progress_callback(
-                        "generating", 
-                        base_progress, 
-                        f"正在生成章节: {section.title} ({section_num}/{total_sections})"
+                        "generating",
+                        base_progress,
+                        t('progress.generatingSection', title=section.title, current=section_num, total=total_sections)
                     )
                 
                 # 生成主章节内容
@@ -1683,23 +1683,23 @@ class ReportAgent:
                         full_content=full_section_content.strip()
                     )
 
-                logger.info(f"章节已保存: {report_id}/section_{section_num:02d}.md")
+                logger.info(t('report.sectionSaved', reportId=report_id, sectionNum=f"{section_num:02d}"))
                 
                 # 更新进度
                 ReportManager.update_progress(
                     report_id, "generating", 
                     base_progress + int(70 / total_sections),
-                    f"章节 {section.title} 已完成",
+                    t('progress.sectionDone', title=section.title),
                     current_section=None,
                     completed_sections=completed_section_titles
                 )
             
             # 阶段3: 组装完整报告
             if progress_callback:
-                progress_callback("generating", 95, "正在组装完整报告...")
+                progress_callback("generating", 95, t('progress.assemblingReport'))
             
             ReportManager.update_progress(
-                report_id, "generating", 95, "正在组装完整报告...",
+                report_id, "generating", 95, t('progress.assemblingReport'),
                 completed_sections=completed_section_titles
             )
             
@@ -1721,14 +1721,14 @@ class ReportAgent:
             # 保存最终报告
             ReportManager.save_report(report)
             ReportManager.update_progress(
-                report_id, "completed", 100, "报告生成完成",
+                report_id, "completed", 100, t('progress.reportComplete'),
                 completed_sections=completed_section_titles
             )
             
             if progress_callback:
-                progress_callback("completed", 100, "报告生成完成")
+                progress_callback("completed", 100, t('progress.reportComplete'))
             
-            logger.info(f"报告生成完成: {report_id}")
+            logger.info(t('report.reportGenDone', reportId=report_id))
             
             # 关闭控制台日志记录器
             if self.console_logger:
@@ -1738,7 +1738,7 @@ class ReportAgent:
             return report
             
         except Exception as e:
-            logger.error(f"报告生成失败: {str(e)}")
+            logger.error(t('report.reportGenFailed', error=str(e)))
             report.status = ReportStatus.FAILED
             report.error = str(e)
             
@@ -1750,7 +1750,7 @@ class ReportAgent:
             try:
                 ReportManager.save_report(report)
                 ReportManager.update_progress(
-                    report_id, "failed", -1, f"报告生成失败: {str(e)}",
+                    report_id, "failed", -1, t('progress.reportFailed', error=str(e)),
                     completed_sections=completed_section_titles
                 )
             except Exception:
@@ -1784,7 +1784,7 @@ class ReportAgent:
                 "sources": [信息来源]
             }
         """
-        logger.info(f"Report Agent对话: {message[:50]}...")
+        logger.info(t('report.agentChat', message=message[:50]))
         
         chat_history = chat_history or []
         
@@ -1798,13 +1798,14 @@ class ReportAgent:
                 if len(report.markdown_content) > 15000:
                     report_content += "\n\n... [报告内容已截断] ..."
         except Exception as e:
-            logger.warning(f"获取报告内容失败: {e}")
+            logger.warning(t('report.fetchReportFailed', error=e))
         
         system_prompt = CHAT_SYSTEM_PROMPT_TEMPLATE.format(
             simulation_requirement=self.simulation_requirement,
             report_content=report_content if report_content else "（暂无报告）",
             tools_description=self._get_tools_description(),
         )
+        system_prompt = f"{system_prompt}\n\n{get_language_instruction()}"
 
         # 构建消息
         messages = [{"role": "system", "content": system_prompt}]
@@ -2088,7 +2089,7 @@ class ReportManager:
         with open(cls._get_outline_path(report_id), 'w', encoding='utf-8') as f:
             json.dump(outline.to_dict(), f, ensure_ascii=False, indent=2)
         
-        logger.info(f"大纲已保存: {report_id}")
+        logger.info(t('report.outlineSaved', reportId=report_id))
     
     @classmethod
     def save_section(
@@ -2124,7 +2125,7 @@ class ReportManager:
         with open(file_path, 'w', encoding='utf-8') as f:
             f.write(md_content)
 
-        logger.info(f"章节已保存: {report_id}/{file_suffix}")
+        logger.info(t('report.sectionFileSaved', reportId=report_id, fileSuffix=file_suffix))
         return file_path
     
     @classmethod
@@ -2293,7 +2294,7 @@ class ReportManager:
         with open(full_path, 'w', encoding='utf-8') as f:
             f.write(md_content)
         
-        logger.info(f"完整报告已组装: {report_id}")
+        logger.info(t('report.fullReportAssembled', reportId=report_id))
         return md_content
     
     @classmethod
@@ -2440,7 +2441,7 @@ class ReportManager:
             with open(cls._get_report_markdown_path(report.report_id), 'w', encoding='utf-8') as f:
                 f.write(report.markdown_content)
         
-        logger.info(f"报告已保存: {report.report_id}")
+        logger.info(t('report.reportSaved', reportId=report.report_id))
     
     @classmethod
     def get_report(cls, report_id: str) -> Optional[Report]:
@@ -2553,7 +2554,7 @@ class ReportManager:
         # 新格式：删除整个文件夹
         if os.path.exists(folder_path) and os.path.isdir(folder_path):
             shutil.rmtree(folder_path)
-            logger.info(f"报告文件夹已删除: {report_id}")
+            logger.info(t('report.reportFolderDeleted', reportId=report_id))
             return True
         
         # 兼容旧格式：删除单独的文件

backend/app/services/simulation_config_generator.py

@@ -20,6 +20,7 @@ from openai import OpenAI
 
 from ..config import Config
 from ..utils.logger import get_logger
+from ..utils.locale import get_language_instruction, t
 from .zep_entity_reader import EntityNode, ZepEntityReader
 
 logger = get_logger('mirofish.simulation_config')
@@ -292,17 +293,17 @@ class SimulationConfigGenerator:
         reasoning_parts = []
         
         # ========== 步骤1: 生成时间配置 ==========
-        report_progress(1, "生成时间配置...")
+        report_progress(1, t('progress.generatingTimeConfig'))
         num_entities = len(entities)
         time_config_result = self._generate_time_config(context, num_entities)
         time_config = self._parse_time_config(time_config_result, num_entities)
-        reasoning_parts.append(f"时间配置: {time_config_result.get('reasoning', '成功')}")
+        reasoning_parts.append(f"{t('progress.timeConfigLabel')}: {time_config_result.get('reasoning', t('common.success'))}")
         
         # ========== 步骤2: 生成事件配置 ==========
-        report_progress(2, "生成事件配置和热点话题...")
+        report_progress(2, t('progress.generatingEventConfig'))
         event_config_result = self._generate_event_config(context, simulation_requirement, entities)
         event_config = self._parse_event_config(event_config_result)
-        reasoning_parts.append(f"事件配置: {event_config_result.get('reasoning', '成功')}")
+        reasoning_parts.append(f"{t('progress.eventConfigLabel')}: {event_config_result.get('reasoning', t('common.success'))}")
         
         # ========== 步骤3-N: 分批生成Agent配置 ==========
         all_agent_configs = []
@@ -313,7 +314,7 @@ class SimulationConfigGenerator:
             
             report_progress(
                 3 + batch_idx,
-                f"生成Agent配置 ({start_idx + 1}-{end_idx}/{len(entities)})..."
+                t('progress.generatingAgentConfig', start=start_idx + 1, end=end_idx, total=len(entities))
             )
             
             batch_configs = self._generate_agent_configs_batch(
@@ -324,16 +325,16 @@ class SimulationConfigGenerator:
             )
             all_agent_configs.extend(batch_configs)
         
-        reasoning_parts.append(f"Agent配置: 成功生成 {len(all_agent_configs)} 个")
+        reasoning_parts.append(t('progress.agentConfigResult', count=len(all_agent_configs)))
         
         # ========== 为初始帖子分配发布者 Agent ==========
         logger.info("为初始帖子分配合适的发布者 Agent...")
         event_config = self._assign_initial_post_agents(event_config, all_agent_configs)
         assigned_count = len([p for p in event_config.initial_posts if p.get("poster_agent_id") is not None])
-        reasoning_parts.append(f"初始帖子分配: {assigned_count} 个帖子已分配发布者")
+        reasoning_parts.append(t('progress.postAssignResult', count=assigned_count))
         
         # ========== 最后一步: 生成平台配置 ==========
-        report_progress(total_steps, "生成平台配置...")
+        report_progress(total_steps, t('progress.generatingPlatformConfig'))
         twitter_config = None
         reddit_config = None
         
@@ -547,7 +548,7 @@ class SimulationConfigGenerator:
 请生成时间配置JSON。
 
 ### 基本原则（仅供参考，需根据具体事件和参与群体灵活调整）：
-- 用户群体为中国人，需符合北京时间作息习惯
+- 请根据模拟场景推断目标用户群体所在时区和作息习惯，以下为东八区(UTC+8)的参考示例
 - 凌晨0-5点几乎无人活动（活跃度系数0.05）
 - 早上6-8点逐渐活跃（活跃度系数0.4）
 - 工作时间9-18点中等活跃（活跃度系数0.7）
@@ -584,8 +585,9 @@ class SimulationConfigGenerator:
 - work_hours (int数组): 工作时段
 - reasoning (string): 简要说明为什么这样配置"""
 
-        system_prompt = "你是社交媒体模拟专家。返回纯JSON格式，时间配置需符合中国人作息习惯。"
-        
+        system_prompt = "你是社交媒体模拟专家。返回纯JSON格式，时间配置需符合模拟场景中目标用户群体的作息习惯。"
+        system_prompt = f"{system_prompt}\n\n{get_language_instruction()}"
+
         try:
             return self._call_llm_with_retry(prompt, system_prompt)
         except Exception as e:
@@ -701,7 +703,8 @@ class SimulationConfigGenerator:
 }}"""
 
         system_prompt = "你是舆论分析专家。返回纯JSON格式。注意 poster_type 必须精确匹配可用实体类型。"
-        
+        system_prompt = f"{system_prompt}\n\n{get_language_instruction()}\nIMPORTANT: The 'poster_type' field value MUST be in English PascalCase exactly matching the available entity types. Only 'content', 'narrative_direction', 'hot_topics' and 'reasoning' fields should use the specified language."
+
         try:
             return self._call_llm_with_retry(prompt, system_prompt)
         except Exception as e:
@@ -838,7 +841,7 @@ class SimulationConfigGenerator:
 
 ## 任务
 为每个实体生成活动配置，注意：
-- **时间符合中国人作息**：凌晨0-5点几乎不活动，晚间19-22点最活跃
+- **时间符合目标用户群体作息**：以下为参考（东八区），请根据模拟场景调整
 - **官方机构**（University/GovernmentAgency）：活跃度低(0.1-0.3)，工作时间(9-17)活动，响应慢(60-240分钟)，影响力高(2.5-3.0)
 - **媒体**（MediaOutlet）：活跃度中(0.4-0.6)，全天活动(8-23)，响应快(5-30分钟)，影响力高(2.0-2.5)
 - **个人**（Student/Person/Alumni）：活跃度高(0.6-0.9)，主要晚间活动(18-23)，响应快(1-15分钟)，影响力低(0.8-1.2)
@@ -863,8 +866,9 @@ class SimulationConfigGenerator:
     ]
 }}"""
 
-        system_prompt = "你是社交媒体行为分析专家。返回纯JSON，配置需符合中国人作息习惯。"
-        
+        system_prompt = "你是社交媒体行为分析专家。返回纯JSON，配置需符合模拟场景中目标用户群体的作息习惯。"
+        system_prompt = f"{system_prompt}\n\n{get_language_instruction()}\nIMPORTANT: The 'stance' field value MUST be one of the English strings: 'supportive', 'opposing', 'neutral', 'observer'. All JSON field names and numeric values must remain unchanged. Only natural language text fields should use the specified language."
+
         try:
             result = self._call_llm_with_retry(prompt, system_prompt)
             llm_configs = {cfg["agent_id"]: cfg for cfg in result.get("agent_configs", [])}

backend/app/services/simulation_manager.py

@@ -17,6 +17,7 @@ from ..utils.logger import get_logger
 from .zep_entity_reader import ZepEntityReader, FilteredEntities
 from .oasis_profile_generator import OasisProfileGenerator, OasisAgentProfile
 from .simulation_config_generator import SimulationConfigGenerator, SimulationParameters
+from ..utils.locale import t
 
 logger = get_logger('mirofish.simulation')
 
@@ -270,12 +271,12 @@ class SimulationManager:
             
             # ========== 阶段1: 读取并过滤实体 ==========
             if progress_callback:
-                progress_callback("reading", 0, "正在连接Zep图谱...")
+                progress_callback("reading", 0, t('progress.connectingZepGraph'))
             
             reader = ZepEntityReader()
             
             if progress_callback:
-                progress_callback("reading", 30, "正在读取节点数据...")
+                progress_callback("reading", 30, t('progress.readingNodeData'))
             
             filtered = reader.filter_defined_entities(
                 graph_id=state.graph_id,
@@ -288,8 +289,8 @@ class SimulationManager:
             
             if progress_callback:
                 progress_callback(
-                    "reading", 100, 
-                    f"完成，共 {filtered.filtered_count} 个实体",
+                    "reading", 100,
+                    t('progress.readingComplete', count=filtered.filtered_count),
                     current=filtered.filtered_count,
                     total=filtered.filtered_count
                 )
@@ -305,8 +306,8 @@ class SimulationManager:
             
             if progress_callback:
                 progress_callback(
-                    "generating_profiles", 0, 
-                    "开始生成...",
+                    "generating_profiles", 0,
+                    t('progress.startGenerating'),
                     current=0,
                     total=total_entities
                 )
@@ -351,8 +352,8 @@ class SimulationManager:
             # Reddit 已经在生成过程中实时保存了，这里再保存一次确保完整性
             if progress_callback:
                 progress_callback(
-                    "generating_profiles", 95, 
-                    "保存Profile文件...",
+                    "generating_profiles", 95,
+                    t('progress.savingProfiles'),
                     current=total_entities,
                     total=total_entities
                 )
@@ -374,8 +375,8 @@ class SimulationManager:
             
             if progress_callback:
                 progress_callback(
-                    "generating_profiles", 100, 
-                    f"完成，共 {len(profiles)} 个Profile",
+                    "generating_profiles", 100,
+                    t('progress.profilesComplete', count=len(profiles)),
                     current=len(profiles),
                     total=len(profiles)
                 )
@@ -383,8 +384,8 @@ class SimulationManager:
             # ========== 阶段3: LLM智能生成模拟配置 ==========
             if progress_callback:
                 progress_callback(
-                    "generating_config", 0, 
-                    "正在分析模拟需求...",
+                    "generating_config", 0,
+                    t('progress.analyzingRequirements'),
                     current=0,
                     total=3
                 )
@@ -393,8 +394,8 @@ class SimulationManager:
             
             if progress_callback:
                 progress_callback(
-                    "generating_config", 30, 
-                    "正在调用LLM生成配置...",
+                    "generating_config", 30,
+                    t('progress.callingLLMConfig'),
                     current=1,
                     total=3
                 )
@@ -412,8 +413,8 @@ class SimulationManager:
             
             if progress_callback:
                 progress_callback(
-                    "generating_config", 70, 
-                    "正在保存配置文件...",
+                    "generating_config", 70,
+                    t('progress.savingConfigFiles'),
                     current=2,
                     total=3
                 )
@@ -428,8 +429,8 @@ class SimulationManager:
             
             if progress_callback:
                 progress_callback(
-                    "generating_config", 100, 
-                    "配置生成完成",
+                    "generating_config", 100,
+                    t('progress.configComplete'),
                     current=3,
                     total=3
                 )

backend/app/services/simulation_runner.py

@@ -20,6 +20,7 @@ from queue import Queue
 
 from ..config import Config
 from ..utils.logger import get_logger
+from ..utils.locale import get_locale, set_locale
 from .zep_graph_memory_updater import ZepGraphMemoryManager
 from .simulation_ipc import SimulationIPCClient, CommandType, IPCResponse
 
@@ -455,10 +456,13 @@ class SimulationRunner:
             cls._processes[simulation_id] = process
             cls._save_run_state(state)
             
+            # Capture locale before spawning monitor thread
+            current_locale = get_locale()
+
             # 启动监控线程
             monitor_thread = threading.Thread(
                 target=cls._monitor_simulation,
-                args=(simulation_id,),
+                args=(simulation_id, current_locale),
                 daemon=True
             )
             monitor_thread.start()
@@ -475,8 +479,9 @@ class SimulationRunner:
         return state
     
     @classmethod
-    def _monitor_simulation(cls, simulation_id: str):
+    def _monitor_simulation(cls, simulation_id: str, locale: str = 'zh'):
         """监控模拟进程，解析动作日志"""
+        set_locale(locale)
         sim_dir = os.path.join(cls.RUN_STATE_DIR, simulation_id)
         
         # 新的日志结构：分平台的动作日志

backend/app/services/zep_graph_memory_updater.py

@@ -16,6 +16,7 @@ from zep_cloud.client import Zep
 
 from ..config import Config
 from ..utils.logger import get_logger
+from ..utils.locale import get_locale, set_locale
 
 logger = get_logger('mirofish.zep_graph_memory_updater')
 
@@ -275,10 +276,14 @@ class ZepGraphMemoryUpdater:
         """启动后台工作线程"""
         if self._running:
             return
-        
+
+        # Capture locale before spawning background thread
+        current_locale = get_locale()
+
         self._running = True
         self._worker_thread = threading.Thread(
             target=self._worker_loop,
+            args=(current_locale,),
             daemon=True,
             name=f"ZepMemoryUpdater-{self.graph_id[:8]}"
         )
@@ -356,8 +361,9 @@ class ZepGraphMemoryUpdater:
         
         self.add_activity(activity)
     
-    def _worker_loop(self):
+    def _worker_loop(self, locale: str = 'zh'):
         """后台工作循环 - 按平台批量发送活动到Zep"""
+        set_locale(locale)
         while self._running or not self._activity_queue.empty():
             try:
                 # 尝试从队列获取活动（超时1秒）

backend/app/services/zep_tools.py

@@ -18,6 +18,7 @@ from zep_cloud.client import Zep
 from ..config import Config
 from ..utils.logger import get_logger
 from ..utils.llm_client import LLMClient
+from ..utils.locale import get_locale, t
 from ..utils.zep_paging import fetch_all_nodes, fetch_all_edges
 
 logger = get_logger('mirofish.zep_tools')
@@ -429,7 +430,7 @@ class ZepToolsService:
         self.client = Zep(api_key=self.api_key)
         # LLM客户端用于InsightForge生成子问题
         self._llm_client = llm_client
-        logger.info("ZepToolsService 初始化完成")
+        logger.info(t("console.zepToolsInitialized"))
     
     @property
     def llm(self) -> LLMClient:
@@ -451,13 +452,12 @@ class ZepToolsService:
                 last_exception = e
                 if attempt < max_retries - 1:
                     logger.warning(
-                        f"Zep {operation_name} 第 {attempt + 1} 次尝试失败: {str(e)[:100]}, "
-                        f"{delay:.1f}秒后重试..."
+                        t("console.zepRetryAttempt", operation=operation_name, attempt=attempt + 1, error=str(e)[:100], delay=f"{delay:.1f}")
                     )
                     time.sleep(delay)
                     delay *= 2
                 else:
-                    logger.error(f"Zep {operation_name} 在 {max_retries} 次尝试后仍失败: {str(e)}")
+                    logger.error(t("console.zepAllRetriesFailed", operation=operation_name, retries=max_retries, error=str(e)))
         
         raise last_exception
     
@@ -483,7 +483,7 @@ class ZepToolsService:
         Returns:
             SearchResult: 搜索结果
         """
-        logger.info(f"图谱搜索: graph_id={graph_id}, query={query[:50]}...")
+        logger.info(t("console.graphSearch", graphId=graph_id, query=query[:50]))
         
         # 尝试使用Zep Cloud Search API
         try:
@@ -495,7 +495,7 @@ class ZepToolsService:
                     scope=scope,
                     reranker="cross_encoder"
                 ),
-                operation_name=f"图谱搜索(graph={graph_id})"
+                operation_name=t("console.graphSearchOp", graphId=graph_id)
             )
             
             facts = []
@@ -528,7 +528,7 @@ class ZepToolsService:
                     if hasattr(node, 'summary') and node.summary:
                         facts.append(f"[{node.name}]: {node.summary}")
             
-            logger.info(f"搜索完成: 找到 {len(facts)} 条相关事实")
+            logger.info(t("console.searchComplete", count=len(facts)))
             
             return SearchResult(
                 facts=facts,
@@ -539,7 +539,7 @@ class ZepToolsService:
             )
             
         except Exception as e:
-            logger.warning(f"Zep Search API失败，降级为本地搜索: {str(e)}")
+            logger.warning(t("console.zepSearchApiFallback", error=str(e)))
             # 降级：使用本地关键词匹配搜索
             return self._local_search(graph_id, query, limit, scope)
     
@@ -564,7 +564,7 @@ class ZepToolsService:
         Returns:
             SearchResult: 搜索结果
         """
-        logger.info(f"使用本地搜索: query={query[:30]}...")
+        logger.info(t("console.usingLocalSearch", query=query[:30]))
         
         facts = []
         edges_result = []
@@ -634,10 +634,10 @@ class ZepToolsService:
                     if node.summary:
                         facts.append(f"[{node.name}]: {node.summary}")
             
-            logger.info(f"本地搜索完成: 找到 {len(facts)} 条相关事实")
+            logger.info(t("console.localSearchComplete", count=len(facts)))
             
         except Exception as e:
-            logger.error(f"本地搜索失败: {str(e)}")
+            logger.error(t("console.localSearchFailed", error=str(e)))
         
         return SearchResult(
             facts=facts,
@@ -657,7 +657,7 @@ class ZepToolsService:
         Returns:
             节点列表
         """
-        logger.info(f"获取图谱 {graph_id} 的所有节点...")
+        logger.info(t("console.fetchingAllNodes", graphId=graph_id))
 
         nodes = fetch_all_nodes(self.client, graph_id)
 
@@ -672,7 +672,7 @@ class ZepToolsService:
                 attributes=node.attributes or {}
             ))
 
-        logger.info(f"获取到 {len(result)} 个节点")
+        logger.info(t("console.fetchedNodes", count=len(result)))
         return result
 
     def get_all_edges(self, graph_id: str, include_temporal: bool = True) -> List[EdgeInfo]:
@@ -686,7 +686,7 @@ class ZepToolsService:
         Returns:
             边列表（包含created_at, valid_at, invalid_at, expired_at）
         """
-        logger.info(f"获取图谱 {graph_id} 的所有边...")
+        logger.info(t("console.fetchingAllEdges", graphId=graph_id))
 
         edges = fetch_all_edges(self.client, graph_id)
 
@@ -710,7 +710,7 @@ class ZepToolsService:
 
             result.append(edge_info)
 
-        logger.info(f"获取到 {len(result)} 条边")
+        logger.info(t("console.fetchedEdges", count=len(result)))
         return result
     
     def get_node_detail(self, node_uuid: str) -> Optional[NodeInfo]:
@@ -723,12 +723,12 @@ class ZepToolsService:
         Returns:
             节点信息或None
         """
-        logger.info(f"获取节点详情: {node_uuid[:8]}...")
+        logger.info(t("console.fetchingNodeDetail", uuid=node_uuid[:8]))
         
         try:
             node = self._call_with_retry(
                 func=lambda: self.client.graph.node.get(uuid_=node_uuid),
-                operation_name=f"获取节点详情(uuid={node_uuid[:8]}...)"
+                operation_name=t("console.fetchNodeDetailOp", uuid=node_uuid[:8])
             )
             
             if not node:
@@ -742,7 +742,7 @@ class ZepToolsService:
                 attributes=node.attributes or {}
             )
         except Exception as e:
-            logger.error(f"获取节点详情失败: {str(e)}")
+            logger.error(t("console.fetchNodeDetailFailed", error=str(e)))
             return None
     
     def get_node_edges(self, graph_id: str, node_uuid: str) -> List[EdgeInfo]:
@@ -758,7 +758,7 @@ class ZepToolsService:
         Returns:
             边列表
         """
-        logger.info(f"获取节点 {node_uuid[:8]}... 的相关边")
+        logger.info(t("console.fetchingNodeEdges", uuid=node_uuid[:8]))
         
         try:
             # 获取图谱所有边，然后过滤
@@ -770,11 +770,11 @@ class ZepToolsService:
                 if edge.source_node_uuid == node_uuid or edge.target_node_uuid == node_uuid:
                     result.append(edge)
             
-            logger.info(f"找到 {len(result)} 条与节点相关的边")
+            logger.info(t("console.foundNodeEdges", count=len(result)))
             return result
             
         except Exception as e:
-            logger.warning(f"获取节点边失败: {str(e)}")
+            logger.warning(t("console.fetchNodeEdgesFailed", error=str(e)))
             return []
     
     def get_entities_by_type(
@@ -792,7 +792,7 @@ class ZepToolsService:
         Returns:
             符合类型的实体列表
         """
-        logger.info(f"获取类型为 {entity_type} 的实体...")
+        logger.info(t("console.fetchingEntitiesByType", type=entity_type))
         
         all_nodes = self.get_all_nodes(graph_id)
         
@@ -802,7 +802,7 @@ class ZepToolsService:
             if entity_type in node.labels:
                 filtered.append(node)
         
-        logger.info(f"找到 {len(filtered)} 个 {entity_type} 类型的实体")
+        logger.info(t("console.foundEntitiesByType", count=len(filtered), type=entity_type))
         return filtered
     
     def get_entity_summary(
@@ -822,7 +822,7 @@ class ZepToolsService:
         Returns:
             实体摘要信息
         """
-        logger.info(f"获取实体 {entity_name} 的关系摘要...")
+        logger.info(t("console.fetchingEntitySummary", name=entity_name))
         
         # 先搜索该实体相关的信息
         search_result = self.search_graph(
@@ -862,7 +862,7 @@ class ZepToolsService:
         Returns:
             统计信息
         """
-        logger.info(f"获取图谱 {graph_id} 的统计信息...")
+        logger.info(t("console.fetchingGraphStats", graphId=graph_id))
         
         nodes = self.get_all_nodes(graph_id)
         edges = self.get_all_edges(graph_id)
@@ -906,7 +906,7 @@ class ZepToolsService:
         Returns:
             模拟上下文信息
         """
-        logger.info(f"获取模拟上下文: {simulation_requirement[:50]}...")
+        logger.info(t("console.fetchingSimContext", requirement=simulation_requirement[:50]))
         
         # 搜索与模拟需求相关的信息
         search_result = self.search_graph(
@@ -970,7 +970,7 @@ class ZepToolsService:
         Returns:
             InsightForgeResult: 深度洞察检索结果
         """
-        logger.info(f"InsightForge 深度洞察检索: {query[:50]}...")
+        logger.info(t("console.insightForgeStart", query=query[:50]))
         
         result = InsightForgeResult(
             query=query,
@@ -986,7 +986,7 @@ class ZepToolsService:
             max_queries=max_sub_queries
         )
         result.sub_queries = sub_queries
-        logger.info(f"生成 {len(sub_queries)} 个子问题")
+        logger.info(t("console.generatedSubQueries", count=len(sub_queries)))
         
         # Step 2: 对每个子问题进行语义搜索
         all_facts = []
@@ -1086,7 +1086,7 @@ class ZepToolsService:
         result.relationship_chains = relationship_chains
         result.total_relationships = len(relationship_chains)
         
-        logger.info(f"InsightForge完成: {result.total_facts}条事实, {result.total_entities}个实体, {result.total_relationships}条关系")
+        logger.info(t("console.insightForgeComplete", facts=result.total_facts, entities=result.total_entities, relationships=result.total_relationships))
         return result
     
     def _generate_sub_queries(
@@ -1133,7 +1133,7 @@ class ZepToolsService:
             return [str(sq) for sq in sub_queries[:max_queries]]
             
         except Exception as e:
-            logger.warning(f"生成子问题失败: {str(e)}，使用默认子问题")
+            logger.warning(t("console.generateSubQueriesFailed", error=str(e)))
             # 降级：返回基于原问题的变体
             return [
                 query,
@@ -1168,7 +1168,7 @@ class ZepToolsService:
         Returns:
             PanoramaResult: 广度搜索结果
         """
-        logger.info(f"PanoramaSearch 广度搜索: {query[:50]}...")
+        logger.info(t("console.panoramaSearchStart", query=query[:50]))
         
         result = PanoramaResult(query=query)
         
@@ -1231,7 +1231,7 @@ class ZepToolsService:
         result.active_count = len(active_facts)
         result.historical_count = len(historical_facts)
         
-        logger.info(f"PanoramaSearch完成: {result.active_count}条有效, {result.historical_count}条历史")
+        logger.info(t("console.panoramaSearchComplete", active=result.active_count, historical=result.historical_count))
         return result
     
     def quick_search(
@@ -1256,7 +1256,7 @@ class ZepToolsService:
         Returns:
             SearchResult: 搜索结果
         """
-        logger.info(f"QuickSearch 简单搜索: {query[:50]}...")
+        logger.info(t("console.quickSearchStart", query=query[:50]))
         
         # 直接调用现有的search_graph方法
         result = self.search_graph(
@@ -1266,7 +1266,7 @@ class ZepToolsService:
             scope="edges"
         )
         
-        logger.info(f"QuickSearch完成: {result.total_count}条结果")
+        logger.info(t("console.quickSearchComplete", count=result.total_count))
         return result
     
     def interview_agents(
@@ -1306,7 +1306,7 @@ class ZepToolsService:
         """
         from .simulation_runner import SimulationRunner
         
-        logger.info(f"InterviewAgents 深度采访（真实API）: {interview_requirement[:50]}...")
+        logger.info(t("console.interviewAgentsStart", requirement=interview_requirement[:50]))
         
         result = InterviewResult(
             interview_topic=interview_requirement,
@@ -1317,12 +1317,12 @@ class ZepToolsService:
         profiles = self._load_agent_profiles(simulation_id)
         
         if not profiles:
-            logger.warning(f"未找到模拟 {simulation_id} 的人设文件")
+            logger.warning(t("console.profilesNotFound", simId=simulation_id))
             result.summary = "未找到可采访的Agent人设文件"
             return result
         
         result.total_agents = len(profiles)
-        logger.info(f"加载到 {len(profiles)} 个Agent人设")
+        logger.info(t("console.loadedProfiles", count=len(profiles)))
         
         # Step 2: 使用LLM选择要采访的Agent（返回agent_id列表）
         selected_agents, selected_indices, selection_reasoning = self._select_agents_for_interview(
@@ -1334,7 +1334,7 @@ class ZepToolsService:
         
         result.selected_agents = selected_agents
         result.selection_reasoning = selection_reasoning
-        logger.info(f"选择了 {len(selected_agents)} 个Agent进行采访: {selected_indices}")
+        logger.info(t("console.selectedAgentsForInterview", count=len(selected_agents), indices=selected_indices))
         
         # Step 3: 生成采访问题（如果没有提供）
         if not result.interview_questions:
@@ -1343,7 +1343,7 @@ class ZepToolsService:
                 simulation_requirement=simulation_requirement,
                 selected_agents=selected_agents
             )
-            logger.info(f"生成了 {len(result.interview_questions)} 个采访问题")
+            logger.info(t("console.generatedInterviewQuestions", count=len(result.interview_questions)))
         
         # 将问题合并为一个采访prompt
         combined_prompt = "\n".join([f"{i+1}. {q}" for i, q in enumerate(result.interview_questions)])
@@ -1373,7 +1373,7 @@ class ZepToolsService:
                     # 不指定platform，API会在twitter和reddit两个平台都采访
                 })
             
-            logger.info(f"调用批量采访API（双平台）: {len(interviews_request)} 个Agent")
+            logger.info(t("console.callingBatchInterviewApi", count=len(interviews_request)))
             
             # 调用 SimulationRunner 的批量采访方法（不传platform，双平台采访）
             api_result = SimulationRunner.interview_agents_batch(
@@ -1383,12 +1383,12 @@ class ZepToolsService:
                 timeout=180.0   # 双平台需要更长超时
             )
             
-            logger.info(f"采访API返回: {api_result.get('interviews_count', 0)} 个结果, success={api_result.get('success')}")
+            logger.info(t("console.interviewApiReturned", count=api_result.get('interviews_count', 0), success=api_result.get('success')))
             
             # 检查API调用是否成功
             if not api_result.get("success", False):
                 error_msg = api_result.get("error", "未知错误")
-                logger.warning(f"采访API返回失败: {error_msg}")
+                logger.warning(t("console.interviewApiReturnedFailure", error=error_msg))
                 result.summary = f"采访API调用失败：{error_msg}。请检查OASIS模拟环境状态。"
                 return result
             
@@ -1461,11 +1461,11 @@ class ZepToolsService:
             
         except ValueError as e:
             # 模拟环境未运行
-            logger.warning(f"采访API调用失败（环境未运行？）: {e}")
+            logger.warning(t("console.interviewApiCallFailed", error=e))
             result.summary = f"采访失败：{str(e)}。模拟环境可能已关闭，请确保OASIS环境正在运行。"
             return result
         except Exception as e:
-            logger.error(f"采访API调用异常: {e}")
+            logger.error(t("console.interviewApiCallException", error=e))
             import traceback
             logger.error(traceback.format_exc())
             result.summary = f"采访过程发生错误：{str(e)}"
@@ -1478,7 +1478,7 @@ class ZepToolsService:
                 interview_requirement=interview_requirement
             )
         
-        logger.info(f"InterviewAgents完成: 采访了 {result.interviewed_count} 个Agent（双平台）")
+        logger.info(t("console.interviewAgentsComplete", count=result.interviewed_count))
         return result
     
     @staticmethod
@@ -1521,10 +1521,10 @@ class ZepToolsService:
             try:
                 with open(reddit_profile_path, 'r', encoding='utf-8') as f:
                     profiles = json.load(f)
-                logger.info(f"从 reddit_profiles.json 加载了 {len(profiles)} 个人设")
+                logger.info(t("console.loadedRedditProfiles", count=len(profiles)))
                 return profiles
             except Exception as e:
-                logger.warning(f"读取 reddit_profiles.json 失败: {e}")
+                logger.warning(t("console.readRedditProfilesFailed", error=e))
         
         # 尝试读取Twitter CSV格式
         twitter_profile_path = os.path.join(sim_dir, "twitter_profiles.csv")
@@ -1541,10 +1541,10 @@ class ZepToolsService:
                             "persona": row.get("user_char", ""),
                             "profession": "未知"
                         })
-                logger.info(f"从 twitter_profiles.csv 加载了 {len(profiles)} 个人设")
+                logger.info(t("console.loadedTwitterProfiles", count=len(profiles)))
                 return profiles
             except Exception as e:
-                logger.warning(f"读取 twitter_profiles.csv 失败: {e}")
+                logger.warning(t("console.readTwitterProfilesFailed", error=e))
         
         return profiles
     
@@ -1625,7 +1625,7 @@ class ZepToolsService:
             return selected_agents, valid_indices, reasoning
             
         except Exception as e:
-            logger.warning(f"LLM选择Agent失败，使用默认选择: {e}")
+            logger.warning(t("console.llmSelectAgentFailed", error=e))
             # 降级：选择前N个
             selected = profiles[:max_agents]
             indices = list(range(min(max_agents, len(profiles))))
@@ -1673,7 +1673,7 @@ class ZepToolsService:
             return response.get("questions", [f"关于{interview_requirement}，您有什么看法？"])
             
         except Exception as e:
-            logger.warning(f"生成采访问题失败: {e}")
+            logger.warning(t("console.generateInterviewQuestionsFailed", error=e))
             return [
                 f"关于{interview_requirement}，您的观点是什么？",
                 "这件事对您或您所代表的群体有什么影响？",
@@ -1695,7 +1695,8 @@ class ZepToolsService:
         for interview in interviews:
             interview_texts.append(f"【{interview.agent_name}（{interview.agent_role}）】\n{interview.response[:500]}")
         
-        system_prompt = """你是一个专业的新闻编辑。请根据多位受访者的回答，生成一份采访摘要。
+        quote_instruction = "引用受访者原话时使用中文引号「」" if get_locale() == 'zh' else 'Use quotation marks "" when quoting interviewees'
+        system_prompt = f"""你是一个专业的新闻编辑。请根据多位受访者的回答，生成一份采访摘要。
 
 摘要要求：
 1. 提炼各方主要观点
@@ -1708,7 +1709,7 @@ class ZepToolsService:
 - 使用纯文本段落，用空行分隔不同部分
 - 不要使用Markdown标题（如#、##、###）
 - 不要使用分割线（如---、***）
-- 引用受访者原话时使用中文引号「」
+- {quote_instruction}
 - 可以使用**加粗**标记关键词，但不要使用其他Markdown语法"""
 
         user_prompt = f"""采访主题：{interview_requirement}
@@ -1730,6 +1731,6 @@ class ZepToolsService:
             return summary
             
         except Exception as e:
-            logger.warning(f"生成采访摘要失败: {e}")
+            logger.warning(t("console.generateInterviewSummaryFailed", error=e))
             # 降级：简单拼接
             return f"共采访了{len(interviews)}位受访者，包括：" + "、".join([i.agent_name for i in interviews])

backend/app/utils/__init__.py

@@ -4,6 +4,7 @@
 
 from .file_parser import FileParser
 from .llm_client import LLMClient
+from .locale import t, get_locale, set_locale, get_language_instruction
 
-__all__ = ['FileParser', 'LLMClient']
+__all__ = ['FileParser', 'LLMClient', 't', 'get_locale', 'set_locale', 'get_language_instruction']
 

backend/app/utils/locale.py

@@ -0,0 +1,69 @@
+import json
+import os
+import threading
+from flask import request, has_request_context
+
+_thread_local = threading.local()
+
+_locales_dir = os.path.join(os.path.dirname(__file__), '..', '..', '..', 'locales')
+
+# Load language registry
+with open(os.path.join(_locales_dir, 'languages.json'), 'r', encoding='utf-8') as f:
+    _languages = json.load(f)
+
+# Load translation files
+_translations = {}
+for filename in os.listdir(_locales_dir):
+    if filename.endswith('.json') and filename != 'languages.json':
+        locale_name = filename[:-5]
+        with open(os.path.join(_locales_dir, filename), 'r', encoding='utf-8') as f:
+            _translations[locale_name] = json.load(f)
+
+
+def set_locale(locale: str):
+    """Set locale for current thread. Call at the start of background threads."""
+    _thread_local.locale = locale
+
+
+def get_locale() -> str:
+    if has_request_context():
+        raw = request.headers.get('Accept-Language', 'zh')
+        return raw if raw in _translations else 'zh'
+    return getattr(_thread_local, 'locale', 'zh')
+
+
+def t(key: str, **kwargs) -> str:
+    locale = get_locale()
+    messages = _translations.get(locale, _translations.get('zh', {}))
+
+    value = messages
+    for part in key.split('.'):
+        if isinstance(value, dict):
+            value = value.get(part)
+        else:
+            value = None
+            break
+
+    if value is None:
+        value = _translations.get('zh', {})
+        for part in key.split('.'):
+            if isinstance(value, dict):
+                value = value.get(part)
+            else:
+                value = None
+                break
+
+    if value is None:
+        return key
+
+    if kwargs:
+        for k, v in kwargs.items():
+            value = value.replace(f'{{{k}}}', str(v))
+
+    return value
+
+
+def get_language_instruction() -> str:
+    locale = get_locale()
+    lang_config = _languages.get(locale, _languages.get('zh', {}))
+    return lang_config.get('llmInstruction', '请使用中文回答。')

frontend/index.html

@@ -1,6 +1,7 @@
 <!doctype html>
-<html lang="zh-CN">
+<html lang="zh">
   <head>
+    <script>document.documentElement.lang = localStorage.getItem('locale') || 'zh'</script>
     <link rel="preconnect" href="https://fonts.googleapis.com">
     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
     <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@100..800&family=Noto+Sans+SC:wght@300;400;500;700;800;900&family=Space+Grotesk:wght@300..700&display=swap" rel="stylesheet">

frontend/package-lock.json

@@ -11,6 +11,7 @@
         "axios": "^1.13.2",
         "d3": "^7.9.0",
         "vue": "^3.5.24",
+        "vue-i18n": "^11.3.0",
         "vue-router": "^4.6.3"
       },
       "devDependencies": {
@@ -506,6 +507,67 @@
         "node": ">=18"
       }
     },
+    "node_modules/@intlify/core-base": {
+      "version": "11.3.0",
+      "resolved": "https://registry.npmjs.org/@intlify/core-base/-/core-base-11.3.0.tgz",
+      "integrity": "sha512-NNX5jIwF4TJBe7RtSKDMOA6JD9mp2mRcBHAwt2X+Q8PvnZub0yj5YYXlFu2AcESdgQpEv/5Yx2uOCV/yh7YkZg==",
+      "license": "MIT",
+      "dependencies": {
+        "@intlify/devtools-types": "11.3.0",
+        "@intlify/message-compiler": "11.3.0",
+        "@intlify/shared": "11.3.0"
+      },
+      "engines": {
+        "node": ">= 16"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/kazupon"
+      }
+    },
+    "node_modules/@intlify/devtools-types": {
+      "version": "11.3.0",
+      "resolved": "https://registry.npmjs.org/@intlify/devtools-types/-/devtools-types-11.3.0.tgz",
+      "integrity": "sha512-G9CNL4WpANWVdUjubOIIS7/D2j/0j+1KJmhBJxHilWNKr9mmt3IjFV3Hq4JoBP23uOoC5ynxz/FHZ42M+YxfGw==",
+      "license": "MIT",
+      "dependencies": {
+        "@intlify/core-base": "11.3.0",
+        "@intlify/shared": "11.3.0"
+      },
+      "engines": {
+        "node": ">= 16"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/kazupon"
+      }
+    },
+    "node_modules/@intlify/message-compiler": {
+      "version": "11.3.0",
+      "resolved": "https://registry.npmjs.org/@intlify/message-compiler/-/message-compiler-11.3.0.tgz",
+      "integrity": "sha512-RAJp3TMsqohg/Wa7bVF3cChRhecSYBLrTCQSj7j0UtWVFLP+6iEJoE2zb7GU5fp+fmG5kCbUdzhmlAUCWXiUJw==",
+      "license": "MIT",
+      "dependencies": {
+        "@intlify/shared": "11.3.0",
+        "source-map-js": "^1.0.2"
+      },
+      "engines": {
+        "node": ">= 16"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/kazupon"
+      }
+    },
+    "node_modules/@intlify/shared": {
+      "version": "11.3.0",
+      "resolved": "https://registry.npmjs.org/@intlify/shared/-/shared-11.3.0.tgz",
+      "integrity": "sha512-LC6P/uay7rXL5zZ5+5iRJfLs/iUN8apu9tm8YqQVmW3Uq3X4A0dOFUIDuAmB7gAC29wTHOS3EiN/IosNSz0eNQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 16"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/kazupon"
+      }
+    },
     "node_modules/@jridgewell/sourcemap-codec": {
       "version": "1.5.5",
       "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.5.tgz",
@@ -2035,6 +2097,27 @@
         }
       }
     },
+    "node_modules/vue-i18n": {
+      "version": "11.3.0",
+      "resolved": "https://registry.npmjs.org/vue-i18n/-/vue-i18n-11.3.0.tgz",
+      "integrity": "sha512-1J+xDfDJTLhDxElkd3+XUhT7FYSZd2b8pa7IRKGxhWH/8yt6PTvi3xmWhGwhYT5EaXdatui11pF2R6tL73/zPA==",
+      "license": "MIT",
+      "dependencies": {
+        "@intlify/core-base": "11.3.0",
+        "@intlify/devtools-types": "11.3.0",
+        "@intlify/shared": "11.3.0",
+        "@vue/devtools-api": "^6.5.0"
+      },
+      "engines": {
+        "node": ">= 16"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/kazupon"
+      },
+      "peerDependencies": {
+        "vue": "^3.0.0"
+      }
+    },
     "node_modules/vue-router": {
       "version": "4.6.3",
       "resolved": "https://registry.npmjs.org/vue-router/-/vue-router-4.6.3.tgz",

frontend/package.json

@@ -12,6 +12,7 @@
     "axios": "1.13.2",
     "d3": "^7.9.0",
     "vue": "^3.5.24",
+    "vue-i18n": "^11.3.0",
     "vue-router": "^4.6.3"
   },
   "devDependencies": {

frontend/src/api/index.js

@@ -1,4 +1,5 @@
 import axios from 'axios'
+import i18n from '../i18n'
 
 // 创建axios实例
 const service = axios.create({
@@ -12,6 +13,7 @@ const service = axios.create({
 // 请求拦截器
 service.interceptors.request.use(
   config => {
+    config.headers['Accept-Language'] = i18n.global.locale.value
     return config
   },
   error => {

frontend/src/components/GraphPanel.vue

@@ -1,14 +1,14 @@
 <template>
   <div class="graph-panel">
     <div class="panel-header">
-      <span class="panel-title">Graph Relationship Visualization</span>
+      <span class="panel-title">{{ $t('graph.panelTitle') }}</span>
       <!-- 顶部工具栏 (Internal Top Right) -->
       <div class="header-tools">
-        <button class="tool-btn" @click="$emit('refresh')" :disabled="loading" title="刷新图谱">
+        <button class="tool-btn" @click="$emit('refresh')" :disabled="loading" :title="$t('graph.refreshGraph')">
           <span class="icon-refresh" :class="{ 'spinning': loading }">↻</span>
           <span class="btn-text">Refresh</span>
         </button>
-        <button class="tool-btn" @click="$emit('toggle-maximize')" title="最大化/还原">
+        <button class="tool-btn" @click="$emit('toggle-maximize')" :title="$t('graph.toggleMaximize')">
           <span class="icon-maximize">⛶</span>
         </button>
       </div>
@@ -27,7 +27,7 @@
               <path d="M14.5 2A2.5 2.5 0 0 0 12 4.5v15a2.5 2.5 0 0 0 4.96.44 2.5 2.5 0 0 0 2.96-3.08 3 3 0 0 0 .34-5.58 2.5 2.5 0 0 0-1.32-4.24 2.5 2.5 0 0 0-4.44-4.04z" />
             </svg>
           </div>
-          {{ isSimulating ? 'GraphRAG长短期记忆实时更新中' : '实时更新中...' }}
+          {{ isSimulating ? $t('graph.graphMemoryRealtime') : $t('graph.realtimeUpdating') }}
         </div>
         
         <!-- 模拟结束后的提示 -->
@@ -39,8 +39,8 @@
               <line x1="12" y1="8" x2="12.01" y2="8"></line>
             </svg>
           </div>
-          <span class="hint-text">还有少量内容处理中，建议稍后手动刷新图谱</span>
-          <button class="hint-close-btn" @click="dismissFinishedHint" title="关闭提示">
+          <span class="hint-text">{{ $t('graph.pendingContentHint') }}</span>
+          <button class="hint-close-btn" @click="dismissFinishedHint" :title="$t('graph.closeHint')">
             <svg viewBox="0 0 24 24" width="14" height="14" fill="none" stroke="currentColor" stroke-width="2">
               <line x1="18" y1="6" x2="6" y2="18"></line>
               <line x1="6" y1="6" x2="18" y2="18"></line>
@@ -51,7 +51,7 @@
         <!-- 节点/边详情面板 -->
         <div v-if="selectedItem" class="detail-panel">
           <div class="detail-panel-header">
-            <span class="detail-title">{{ selectedItem.type === 'node' ? 'Node Details' : 'Relationship' }}</span>
+            <span class="detail-title">{{ selectedItem.type === 'node' ? $t('graph.nodeDetails') : $t('graph.relationship') }}</span>
             <span v-if="selectedItem.type === 'node'" class="detail-type-badge" :style="{ background: selectedItem.color, color: '#fff' }">
               {{ selectedItem.entityType }}
             </span>
@@ -203,13 +203,13 @@
       <!-- 加载状态 -->
       <div v-else-if="loading" class="graph-state">
         <div class="loading-spinner"></div>
-        <p>图谱数据加载中...</p>
+        <p>{{ $t('graph.graphDataLoading') }}</p>
       </div>
       
       <!-- 等待/空状态 -->
       <div v-else class="graph-state">
         <div class="empty-icon">❖</div>
-        <p class="empty-text">等待本体生成...</p>
+        <p class="empty-text">{{ $t('graph.waitingOntology') }}</p>
       </div>
     </div>
 

frontend/src/components/HistoryDatabase.vue

@@ -13,7 +13,7 @@
     <!-- 标题区域 -->
     <div class="section-header">
       <div class="section-line"></div>
-      <span class="section-title">推演记录</span>
+      <span class="section-title">{{ $t('history.title') }}</span>
       <div class="section-line"></div>
     </div>
 
@@ -36,16 +36,16 @@
             <span 
               class="status-icon" 
               :class="{ available: project.project_id, unavailable: !project.project_id }"
-              title="图谱构建"
+              :title="$t('history.graphBuild')"
             >◇</span>
             <span 
               class="status-icon available" 
-              title="环境搭建"
+              :title="$t('history.envSetup')"
             >◈</span>
             <span 
               class="status-icon" 
               :class="{ available: project.report_id, unavailable: !project.report_id }"
-              title="分析报告"
+              :title="$t('history.analysisReport')"
             >◆</span>
           </div>
         </div>
@@ -67,13 +67,13 @@
             </div>
             <!-- 如果有更多文件，显示提示 -->
             <div v-if="project.files.length > 3" class="files-more">
-              +{{ project.files.length - 3 }} 个文件
+              {{ $t('history.moreFiles', { count: project.files.length - 3 }) }}
             </div>
           </div>
           <!-- 无文件时的占位 -->
           <div class="files-empty" v-else>
             <span class="empty-file-icon">◇</span>
-            <span class="empty-file-text">暂无文件</span>
+            <span class="empty-file-text">{{ $t('history.noFiles') }}</span>
           </div>
         </div>
 
@@ -102,7 +102,7 @@
     <!-- 加载状态 -->
     <div v-if="loading" class="loading-state">
       <span class="loading-spinner"></span>
-      <span class="loading-text">加载中...</span>
+      <span class="loading-text">{{ $t('history.loadingText') }}</span>
     </div>
 
     <!-- 历史回放详情弹窗 -->
@@ -126,27 +126,27 @@
             <div class="modal-body">
               <!-- 模拟需求 -->
               <div class="modal-section">
-                <div class="modal-label">模拟需求</div>
-                <div class="modal-requirement">{{ selectedProject.simulation_requirement || '无' }}</div>
+                <div class="modal-label">{{ $t('history.simRequirement') }}</div>
+                <div class="modal-requirement">{{ selectedProject.simulation_requirement || $t('common.none') }}</div>
               </div>
 
               <!-- 文件列表 -->
               <div class="modal-section">
-                <div class="modal-label">关联文件</div>
+                <div class="modal-label">{{ $t('history.relatedFiles') }}</div>
                 <div class="modal-files" v-if="selectedProject.files && selectedProject.files.length > 0">
                   <div v-for="(file, index) in selectedProject.files" :key="index" class="modal-file-item">
                     <span class="file-tag" :class="getFileType(file.filename)">{{ getFileTypeLabel(file.filename) }}</span>
                     <span class="modal-file-name">{{ file.filename }}</span>
                   </div>
                 </div>
-                <div class="modal-empty" v-else>暂无关联文件</div>
+                <div class="modal-empty" v-else>{{ $t('history.noRelatedFiles') }}</div>
               </div>
             </div>
 
             <!-- 推演回放分割线 -->
             <div class="modal-divider">
               <span class="divider-line"></span>
-              <span class="divider-text">推演回放</span>
+              <span class="divider-text">{{ $t('history.replayTitle') }}</span>
               <span class="divider-line"></span>
             </div>
 
@@ -159,7 +159,7 @@
               >
                 <span class="btn-step">Step1</span>
                 <span class="btn-icon">◇</span>
-                <span class="btn-text">图谱构建</span>
+                <span class="btn-text">{{ $t('history.step1Button') }}</span>
               </button>
               <button 
                 class="modal-btn btn-simulation" 
@@ -167,7 +167,7 @@
               >
                 <span class="btn-step">Step2</span>
                 <span class="btn-icon">◈</span>
-                <span class="btn-text">环境搭建</span>
+                <span class="btn-text">{{ $t('history.step2Button') }}</span>
               </button>
               <button 
                 class="modal-btn btn-report" 
@@ -176,12 +176,12 @@
               >
                 <span class="btn-step">Step4</span>
                 <span class="btn-icon">◆</span>
-                <span class="btn-text">分析报告</span>
+                <span class="btn-text">{{ $t('history.step4Button') }}</span>
               </button>
             </div>
             <!-- 不可回放提示 -->
             <div class="modal-playback-hint">
-              <span class="hint-text">Step3「开始模拟」与 Step5「深度互动」需在运行中启动，不支持历史回放</span>
+              <span class="hint-text">{{ $t('history.replayHint') }}</span>
             </div>
           </div>
         </div>
@@ -193,10 +193,12 @@
 <script setup>
 import { ref, computed, onMounted, onUnmounted, onActivated, watch, nextTick } from 'vue'
 import { useRouter, useRoute } from 'vue-router'
+import { useI18n } from 'vue-i18n'
 import { getSimulationHistory } from '../api/simulation'
 
 const router = useRouter()
 const route = useRoute()
+const { t } = useI18n()
 
 // 状态
 const projects = ref([])
@@ -337,7 +339,7 @@ const truncateText = (text, maxLength) => {
 
 // 从模拟需求生成标题（取前20字）
 const getSimulationTitle = (requirement) => {
-  if (!requirement) return '未命名模拟'
+  if (!requirement) return t('history.untitledSimulation')
   const title = requirement.slice(0, 20)
   return requirement.length > 20 ? title + '...' : title
 }
@@ -353,8 +355,8 @@ const formatSimulationId = (simulationId) => {
 const formatRounds = (simulation) => {
   const current = simulation.current_round || 0
   const total = simulation.total_rounds || 0
-  if (total === 0) return '未开始'
-  return `${current}/${total} 轮`
+  if (total === 0) return t('history.notStarted')
+  return t('history.roundsProgress', { current, total })
 }
 
 // 获取文件类型（用于样式）
@@ -382,7 +384,7 @@ const getFileTypeLabel = (filename) => {
 
 // 截断文件名（保留扩展名）
 const truncateFilename = (filename, maxLength) => {
-  if (!filename) return '未知文件'
+  if (!filename) return t('history.unknownFile')
   if (filename.length <= maxLength) return filename
   
   const ext = filename.includes('.') ? '.' + filename.split('.').pop() : ''

frontend/src/components/LanguageSwitcher.vue

@@ -0,0 +1,124 @@
+<template>
+  <div class="language-switcher" ref="switcherRef">
+    <button class="switcher-trigger" @click="toggleDropdown">
+      {{ currentLabel }}
+      <span class="caret">{{ open ? '▲' : '▼' }}</span>
+    </button>
+    <ul v-if="open" class="switcher-dropdown">
+      <li
+        v-for="loc in availableLocales"
+        :key="loc.key"
+        class="switcher-option"
+        :class="{ active: loc.key === locale }"
+        @click="switchLocale(loc.key)"
+      >
+        {{ loc.label }}
+      </li>
+    </ul>
+  </div>
+</template>
+
+<script setup>
+import { ref, computed, onMounted, onUnmounted } from 'vue'
+import { useI18n } from 'vue-i18n'
+import { availableLocales } from '@/i18n/index.js'
+
+const { locale } = useI18n()
+const open = ref(false)
+const switcherRef = ref(null)
+
+const currentLabel = computed(() => {
+  const found = availableLocales.find(l => l.key === locale.value)
+  return found ? found.label : locale.value
+})
+
+const toggleDropdown = () => {
+  open.value = !open.value
+}
+
+const switchLocale = (key) => {
+  locale.value = key
+  localStorage.setItem('locale', key)
+  document.documentElement.lang = key
+  open.value = false
+}
+
+const onClickOutside = (e) => {
+  if (switcherRef.value && !switcherRef.value.contains(e.target)) {
+    open.value = false
+  }
+}
+
+onMounted(() => {
+  document.addEventListener('click', onClickOutside)
+  document.documentElement.lang = locale.value
+})
+
+onUnmounted(() => {
+  document.removeEventListener('click', onClickOutside)
+})
+</script>
+
+<style scoped>
+.language-switcher {
+  position: relative;
+  display: inline-block;
+  font-family: 'JetBrains Mono', monospace;
+}
+
+/* Light theme (default - for white header backgrounds) */
+.switcher-trigger {
+  background: transparent;
+  color: #333;
+  border: 1px solid #CCC;
+  padding: 4px 12px;
+  font-family: 'JetBrains Mono', monospace;
+  font-size: 0.8rem;
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  gap: 6px;
+  transition: border-color 0.2s, opacity 0.2s;
+}
+
+.switcher-trigger:hover {
+  border-color: #999;
+}
+
+.caret {
+  font-size: 0.6rem;
+}
+
+.switcher-dropdown {
+  position: absolute;
+  top: 100%;
+  right: 0;
+  margin-top: 4px;
+  background: #FFFFFF;
+  border: 1px solid #DDD;
+  list-style: none;
+  padding: 4px 0;
+  min-width: 100%;
+  z-index: 1000;
+  box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
+}
+
+.switcher-option {
+  padding: 6px 12px;
+  font-size: 0.8rem;
+  color: #333;
+  cursor: pointer;
+  white-space: nowrap;
+  transition: background 0.15s;
+}
+
+.switcher-option:hover {
+  background: #F0F0F0;
+}
+
+.switcher-option.active {
+  color: var(--orange, #FF4500);
+}
+
+
+</style>

frontend/src/components/Step1GraphBuild.vue

@@ -6,25 +6,25 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">01</span>
-            <span class="step-title">本体生成</span>
+            <span class="step-title">{{ $t('step1.ontologyGeneration') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="currentPhase > 0" class="badge success">已完成</span>
-            <span v-else-if="currentPhase === 0" class="badge processing">生成中</span>
-            <span v-else class="badge pending">等待</span>
+            <span v-if="currentPhase > 0" class="badge success">{{ $t('step1.ontologyCompleted') }}</span>
+            <span v-else-if="currentPhase === 0" class="badge processing">{{ $t('step1.ontologyGenerating') }}</span>
+            <span v-else class="badge pending">{{ $t('step1.ontologyPending') }}</span>
           </div>
         </div>
         
         <div class="card-content">
           <p class="api-note">POST /api/graph/ontology/generate</p>
           <p class="description">
-            LLM分析文档内容与模拟需求，提取出现实种子，自动生成合适的本体结构
+            {{ $t('step1.ontologyDesc') }}
           </p>
 
           <!-- Loading / Progress -->
           <div v-if="currentPhase === 0 && ontologyProgress" class="progress-section">
             <div class="spinner-sm"></div>
-            <span>{{ ontologyProgress.message || '正在分析文档...' }}</span>
+            <span>{{ ontologyProgress.message || $t('step1.analyzingDocs') }}</span>
           </div>
 
           <!-- Detail Overlay -->
@@ -110,34 +110,34 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">02</span>
-            <span class="step-title">GraphRAG构建</span>
+            <span class="step-title">{{ $t('step1.graphRagBuild') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="currentPhase > 1" class="badge success">已完成</span>
+            <span v-if="currentPhase > 1" class="badge success">{{ $t('step1.ontologyCompleted') }}</span>
             <span v-else-if="currentPhase === 1" class="badge processing">{{ buildProgress?.progress || 0 }}%</span>
-            <span v-else class="badge pending">等待</span>
+            <span v-else class="badge pending">{{ $t('step1.ontologyPending') }}</span>
           </div>
         </div>
 
         <div class="card-content">
           <p class="api-note">POST /api/graph/build</p>
           <p class="description">
-            基于生成的本体，将文档自动分块后调用 Zep 构建知识图谱，提取实体和关系，并形成时序记忆与社区摘要
+            {{ $t('step1.graphRagDesc') }}
           </p>
           
           <!-- Stats Cards -->
           <div class="stats-grid">
             <div class="stat-card">
               <span class="stat-value">{{ graphStats.nodes }}</span>
-              <span class="stat-label">实体节点</span>
+              <span class="stat-label">{{ $t('step1.entityNodes') }}</span>
             </div>
             <div class="stat-card">
               <span class="stat-value">{{ graphStats.edges }}</span>
-              <span class="stat-label">关系边</span>
+              <span class="stat-label">{{ $t('step1.relationEdges') }}</span>
             </div>
             <div class="stat-card">
               <span class="stat-value">{{ graphStats.types }}</span>
-              <span class="stat-label">SCHEMA类型</span>
+              <span class="stat-label">{{ $t('step1.schemaTypes') }}</span>
             </div>
           </div>
         </div>
@@ -148,23 +148,23 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">03</span>
-            <span class="step-title">构建完成</span>
+            <span class="step-title">{{ $t('step1.buildComplete') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="currentPhase >= 2" class="badge accent">进行中</span>
+            <span v-if="currentPhase >= 2" class="badge accent">{{ $t('step1.inProgress') }}</span>
           </div>
         </div>
         
         <div class="card-content">
           <p class="api-note">POST /api/simulation/create</p>
-          <p class="description">图谱构建已完成，请进入下一步进行模拟环境搭建</p>
+          <p class="description">{{ $t('step1.buildCompleteDesc') }}</p>
           <button 
             class="action-btn" 
             :disabled="currentPhase < 2 || creatingSimulation"
             @click="handleEnterEnvSetup"
           >
             <span v-if="creatingSimulation" class="spinner-sm"></span>
-            {{ creatingSimulation ? '创建中...' : '进入环境搭建 ➝' }}
+            {{ creatingSimulation ? $t('step1.creating') : $t('step1.enterEnvSetup') + ' ➝' }}
           </button>
         </div>
       </div>
@@ -189,9 +189,11 @@
 <script setup>
 import { computed, ref, watch, nextTick } from 'vue'
 import { useRouter } from 'vue-router'
+import { useI18n } from 'vue-i18n'
 import { createSimulation } from '../api/simulation'
 
 const router = useRouter()
+const { t } = useI18n()
 
 const props = defineProps({
   currentPhase: { type: Number, default: 0 },
@@ -233,11 +235,11 @@ const handleEnterEnvSetup = async () => {
       })
     } else {
       console.error('创建模拟失败:', res.error)
-      alert('创建模拟失败: ' + (res.error || '未知错误'))
+      alert(t('step1.createSimulationFailed', { error: res.error || t('common.unknownError') }))
     }
   } catch (err) {
     console.error('创建模拟异常:', err)
-    alert('创建模拟异常: ' + err.message)
+    alert(t('step1.createSimulationException', { error: err.message }))
   } finally {
     creatingSimulation.value = false
   }

frontend/src/components/Step2EnvSetup.vue

@@ -6,18 +6,18 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">01</span>
-            <span class="step-title">模拟实例初始化</span>
+            <span class="step-title">{{ $t('step2.simInstanceInit') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="phase > 0" class="badge success">已完成</span>
-            <span v-else class="badge processing">初始化</span>
+            <span v-if="phase > 0" class="badge success">{{ $t('common.completed') }}</span>
+            <span v-else class="badge processing">{{ $t('step2.initializing') }}</span>
           </div>
         </div>
         
         <div class="card-content">
           <p class="api-note">POST /api/simulation/create</p>
           <p class="description">
-            新建simulation实例，拉取模拟世界参数模版
+            {{ $t('step2.simInstanceDesc') }}
           </p>
 
           <div v-if="simulationId" class="info-card">
@@ -35,7 +35,7 @@
             </div>
             <div class="info-row">
               <span class="info-label">Task ID</span>
-              <span class="info-value mono">{{ taskId || '异步任务已完成' }}</span>
+              <span class="info-value mono">{{ taskId || $t('step2.asyncTaskDone') }}</span>
             </div>
           </div>
         </div>
@@ -46,41 +46,41 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">02</span>
-            <span class="step-title">生成 Agent 人设</span>
+            <span class="step-title">{{ $t('step2.generateAgentPersona') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="phase > 1" class="badge success">已完成</span>
+            <span v-if="phase > 1" class="badge success">{{ $t('common.completed') }}</span>
             <span v-else-if="phase === 1" class="badge processing">{{ prepareProgress }}%</span>
-            <span v-else class="badge pending">等待</span>
+            <span v-else class="badge pending">{{ $t('common.pending') }}</span>
           </div>
         </div>
 
         <div class="card-content">
           <p class="api-note">POST /api/simulation/prepare</p>
           <p class="description">
-            结合上下文，自动调用工具从知识图谱梳理实体与关系，初始化模拟个体，并基于现实种子赋予他们独特的行为与记忆
+            {{ $t('step2.generateAgentPersonaDesc') }}
           </p>
 
           <!-- Profiles Stats -->
           <div v-if="profiles.length > 0" class="stats-grid">
             <div class="stat-card">
               <span class="stat-value">{{ profiles.length }}</span>
-              <span class="stat-label">当前Agent数</span>
+              <span class="stat-label">{{ $t('step2.currentAgentCount') }}</span>
             </div>
             <div class="stat-card">
               <span class="stat-value">{{ expectedTotal || '-' }}</span>
-              <span class="stat-label">预期Agent总数</span>
+              <span class="stat-label">{{ $t('step2.expectedAgentTotal') }}</span>
             </div>
             <div class="stat-card">
               <span class="stat-value">{{ totalTopicsCount }}</span>
-              <span class="stat-label">现实种子当前关联话题数</span>
+              <span class="stat-label">{{ $t('step2.relatedTopicsCount') }}</span>
             </div>
           </div>
 
           <!-- Profiles List Preview -->
           <div v-if="profiles.length > 0" class="profiles-preview">
             <div class="preview-header">
-              <span class="preview-title">已生成的 Agent 人设</span>
+              <span class="preview-title">{{ $t('step2.generatedAgentPersonas') }}</span>
             </div>
             <div class="profiles-list">
               <div 
@@ -94,9 +94,9 @@
                   <span class="profile-username">@{{ profile.name || `agent_${idx}` }}</span>
                 </div>
                 <div class="profile-meta">
-                  <span class="profile-profession">{{ profile.profession || '未知职业' }}</span>
+                  <span class="profile-profession">{{ profile.profession || $t('step2.unknownProfession') }}</span>
                 </div>
-                <p class="profile-bio">{{ profile.bio || '暂无简介' }}</p>
+                <p class="profile-bio">{{ profile.bio || $t('step2.noBio') }}</p>
                 <div v-if="profile.interested_topics?.length" class="profile-topics">
                   <span 
                     v-for="topic in profile.interested_topics.slice(0, 3)" 
@@ -118,19 +118,19 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">03</span>
-            <span class="step-title">生成双平台模拟配置</span>
+            <span class="step-title">{{ $t('step2.dualPlatformConfig') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="phase > 2" class="badge success">已完成</span>
-            <span v-else-if="phase === 2" class="badge processing">生成中</span>
-            <span v-else class="badge pending">等待</span>
+            <span v-if="phase > 2" class="badge success">{{ $t('common.completed') }}</span>
+            <span v-else-if="phase === 2" class="badge processing">{{ $t('step2.generating') }}</span>
+            <span v-else class="badge pending">{{ $t('common.pending') }}</span>
           </div>
         </div>
 
         <div class="card-content">
           <p class="api-note">POST /api/simulation/prepare</p>
           <p class="description">
-            LLM 根据模拟需求与现实种子，智能设置世界时间流速、推荐算法、每个个体的活跃时间段、发言频率、事件触发等参数
+            {{ $t('step2.dualPlatformConfigDesc') }}
           </p>
           
           <!-- Config Preview -->
@@ -139,40 +139,40 @@
             <div class="config-block">
               <div class="config-grid">
                 <div class="config-item">
-                  <span class="config-item-label">模拟时长</span>
-                  <span class="config-item-value">{{ simulationConfig.time_config?.total_simulation_hours || '-' }} 小时</span>
+                  <span class="config-item-label">{{ $t('step2.simulationDuration') }}</span>
+                  <span class="config-item-value">{{ simulationConfig.time_config?.total_simulation_hours || '-' }} {{ $t('common.hours') }}</span>
                 </div>
                 <div class="config-item">
-                  <span class="config-item-label">每轮时长</span>
-                  <span class="config-item-value">{{ simulationConfig.time_config?.minutes_per_round || '-' }} 分钟</span>
+                  <span class="config-item-label">{{ $t('step2.roundDuration') }}</span>
+                  <span class="config-item-value">{{ simulationConfig.time_config?.minutes_per_round || '-' }} {{ $t('common.minutes') }}</span>
                 </div>
                 <div class="config-item">
-                  <span class="config-item-label">总轮次</span>
-                  <span class="config-item-value">{{ Math.floor((simulationConfig.time_config?.total_simulation_hours * 60 / simulationConfig.time_config?.minutes_per_round)) || '-' }} 轮</span>
+                  <span class="config-item-label">{{ $t('step2.totalRounds') }}</span>
+                  <span class="config-item-value">{{ Math.floor((simulationConfig.time_config?.total_simulation_hours * 60 / simulationConfig.time_config?.minutes_per_round)) || '-' }} {{ $t('common.rounds') }}</span>
                 </div>
                 <div class="config-item">
-                  <span class="config-item-label">每小时活跃</span>
+                  <span class="config-item-label">{{ $t('step2.activePerHour') }}</span>
                   <span class="config-item-value">{{ simulationConfig.time_config?.agents_per_hour_min }}-{{ simulationConfig.time_config?.agents_per_hour_max }}</span>
                 </div>
               </div>
               <div class="time-periods">
                 <div class="period-item">
-                  <span class="period-label">高峰时段</span>
+                  <span class="period-label">{{ $t('step2.peakHours') }}</span>
                   <span class="period-hours">{{ simulationConfig.time_config?.peak_hours?.join(':00, ') }}:00</span>
                   <span class="period-multiplier">×{{ simulationConfig.time_config?.peak_activity_multiplier }}</span>
                 </div>
                 <div class="period-item">
-                  <span class="period-label">工作时段</span>
+                  <span class="period-label">{{ $t('step2.workHours') }}</span>
                   <span class="period-hours">{{ simulationConfig.time_config?.work_hours?.[0] }}:00-{{ simulationConfig.time_config?.work_hours?.slice(-1)[0] }}:00</span>
                   <span class="period-multiplier">×{{ simulationConfig.time_config?.work_activity_multiplier }}</span>
                 </div>
                 <div class="period-item">
-                  <span class="period-label">早间时段</span>
+                  <span class="period-label">{{ $t('step2.morningHours') }}</span>
                   <span class="period-hours">{{ simulationConfig.time_config?.morning_hours?.[0] }}:00-{{ simulationConfig.time_config?.morning_hours?.slice(-1)[0] }}:00</span>
                   <span class="period-multiplier">×{{ simulationConfig.time_config?.morning_activity_multiplier }}</span>
                 </div>
                 <div class="period-item">
-                  <span class="period-label">低谷时段</span>
+                  <span class="period-label">{{ $t('step2.offPeakHours') }}</span>
                   <span class="period-hours">{{ simulationConfig.time_config?.off_peak_hours?.[0] }}:00-{{ simulationConfig.time_config?.off_peak_hours?.slice(-1)[0] }}:00</span>
                   <span class="period-multiplier">×{{ simulationConfig.time_config?.off_peak_activity_multiplier }}</span>
                 </div>
@@ -182,8 +182,8 @@
             <!-- Agent 配置 -->
             <div class="config-block">
               <div class="config-block-header">
-                <span class="config-block-title">Agent 配置</span>
-                <span class="config-block-badge">{{ simulationConfig.agent_configs?.length || 0 }} 个</span>
+                <span class="config-block-title">{{ $t('step2.agentConfig') }}</span>
+                <span class="config-block-badge">{{ simulationConfig.agent_configs?.length || 0 }} {{ $t('common.items') }}</span>
               </div>
               <div class="agents-cards">
                 <div 
@@ -205,7 +205,7 @@
                   
                   <!-- 活跃时间轴 -->
                   <div class="agent-timeline">
-                    <span class="timeline-label">活跃时段</span>
+                    <span class="timeline-label">{{ $t('step2.activeTimePeriod') }}</span>
                     <div class="mini-timeline">
                       <div 
                         v-for="hour in 24" 
@@ -228,34 +228,34 @@
                   <div class="agent-params">
                     <div class="param-group">
                       <div class="param-item">
-                        <span class="param-label">发帖/时</span>
+                        <span class="param-label">{{ $t('step2.postsPerHour') }}</span>
                         <span class="param-value">{{ agent.posts_per_hour }}</span>
                       </div>
                       <div class="param-item">
-                        <span class="param-label">评论/时</span>
+                        <span class="param-label">{{ $t('step2.commentsPerHour') }}</span>
                         <span class="param-value">{{ agent.comments_per_hour }}</span>
                       </div>
                       <div class="param-item">
-                        <span class="param-label">响应延迟</span>
+                        <span class="param-label">{{ $t('step2.responseDelay') }}</span>
                         <span class="param-value">{{ agent.response_delay_min }}-{{ agent.response_delay_max }}min</span>
                       </div>
                     </div>
                     <div class="param-group">
                       <div class="param-item">
-                        <span class="param-label">活跃度</span>
+                        <span class="param-label">{{ $t('step2.activityLevel') }}</span>
                         <span class="param-value with-bar">
                           <span class="mini-bar" :style="{ width: (agent.activity_level * 100) + '%' }"></span>
                           {{ (agent.activity_level * 100).toFixed(0) }}%
                         </span>
                       </div>
                       <div class="param-item">
-                        <span class="param-label">情感倾向</span>
+                        <span class="param-label">{{ $t('step2.sentimentBias') }}</span>
                         <span class="param-value" :class="agent.sentiment_bias > 0 ? 'positive' : agent.sentiment_bias < 0 ? 'negative' : 'neutral'">
                           {{ agent.sentiment_bias > 0 ? '+' : '' }}{{ agent.sentiment_bias?.toFixed(1) }}
                         </span>
                       </div>
                       <div class="param-item">
-                        <span class="param-label">影响力</span>
+                        <span class="param-label">{{ $t('step2.influenceWeight') }}</span>
                         <span class="param-value highlight">{{ agent.influence_weight?.toFixed(1) }}</span>
                       </div>
                     </div>
@@ -267,59 +267,59 @@
             <!-- 平台配置 -->
             <div class="config-block">
               <div class="config-block-header">
-                <span class="config-block-title">推荐算法配置</span>
+                <span class="config-block-title">{{ $t('step2.recommendAlgoConfig') }}</span>
               </div>
               <div class="platforms-grid">
                 <div v-if="simulationConfig.twitter_config" class="platform-card">
                   <div class="platform-card-header">
-                    <span class="platform-name">平台 1：广场 / 信息流</span>
+                    <span class="platform-name">{{ $t('step2.platform1Name') }}</span>
                   </div>
                   <div class="platform-params">
                     <div class="param-row">
-                      <span class="param-label">时效权重</span>
+                      <span class="param-label">{{ $t('step2.recencyWeight') }}</span>
                       <span class="param-value">{{ simulationConfig.twitter_config.recency_weight }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">热度权重</span>
+                      <span class="param-label">{{ $t('step2.popularityWeight') }}</span>
                       <span class="param-value">{{ simulationConfig.twitter_config.popularity_weight }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">相关性权重</span>
+                      <span class="param-label">{{ $t('step2.relevanceWeight') }}</span>
                       <span class="param-value">{{ simulationConfig.twitter_config.relevance_weight }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">病毒阈值</span>
+                      <span class="param-label">{{ $t('step2.viralThreshold') }}</span>
                       <span class="param-value">{{ simulationConfig.twitter_config.viral_threshold }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">回音室强度</span>
+                      <span class="param-label">{{ $t('step2.echoChamberStrength') }}</span>
                       <span class="param-value">{{ simulationConfig.twitter_config.echo_chamber_strength }}</span>
                     </div>
                   </div>
                 </div>
                 <div v-if="simulationConfig.reddit_config" class="platform-card">
                   <div class="platform-card-header">
-                    <span class="platform-name">平台 2：话题 / 社区</span>
+                    <span class="platform-name">{{ $t('step2.platform2Name') }}</span>
                   </div>
                   <div class="platform-params">
                     <div class="param-row">
-                      <span class="param-label">时效权重</span>
+                      <span class="param-label">{{ $t('step2.recencyWeight') }}</span>
                       <span class="param-value">{{ simulationConfig.reddit_config.recency_weight }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">热度权重</span>
+                      <span class="param-label">{{ $t('step2.popularityWeight') }}</span>
                       <span class="param-value">{{ simulationConfig.reddit_config.popularity_weight }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">相关性权重</span>
+                      <span class="param-label">{{ $t('step2.relevanceWeight') }}</span>
                       <span class="param-value">{{ simulationConfig.reddit_config.relevance_weight }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">病毒阈值</span>
+                      <span class="param-label">{{ $t('step2.viralThreshold') }}</span>
                       <span class="param-value">{{ simulationConfig.reddit_config.viral_threshold }}</span>
                     </div>
                     <div class="param-row">
-                      <span class="param-label">回音室强度</span>
+                      <span class="param-label">{{ $t('step2.echoChamberStrength') }}</span>
                       <span class="param-value">{{ simulationConfig.reddit_config.echo_chamber_strength }}</span>
                     </div>
                   </div>
@@ -330,7 +330,7 @@
             <!-- LLM 配置推理 -->
             <div v-if="simulationConfig.generation_reasoning" class="config-block">
               <div class="config-block-header">
-                <span class="config-block-title">LLM 配置推理</span>
+                <span class="config-block-title">{{ $t('step2.llmConfigReasoning') }}</span>
               </div>
               <div class="reasoning-content">
                 <div 
@@ -351,19 +351,19 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">04</span>
-            <span class="step-title">初始激活编排</span>
+            <span class="step-title">{{ $t('step2.initialActivation') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="phase > 3" class="badge success">已完成</span>
-            <span v-else-if="phase === 3" class="badge processing">编排中</span>
-            <span v-else class="badge pending">等待</span>
+            <span v-if="phase > 3" class="badge success">{{ $t('common.completed') }}</span>
+            <span v-else-if="phase === 3" class="badge processing">{{ $t('step2.orchestrating') }}</span>
+            <span v-else class="badge pending">{{ $t('common.pending') }}</span>
           </div>
         </div>
 
         <div class="card-content">
           <p class="api-note">POST /api/simulation/prepare</p>
           <p class="description">
-            基于叙事方向，自动生成初始激活事件与热点话题，引导模拟世界的初始状态
+            {{ $t('step2.initialActivationDesc') }}
           </p>
 
           <div v-if="simulationConfig?.event_config" class="orchestration-content">
@@ -380,14 +380,14 @@
                     </linearGradient>
                   </defs>
                 </svg>
-                叙事引导方向
+                {{ $t('step2.narrativeDirection') }}
               </span>
               <p class="narrative-text">{{ simulationConfig.event_config.narrative_direction }}</p>
             </div>
 
             <!-- 热点话题 -->
             <div class="topics-section">
-              <span class="box-label">初始热点话题</span>
+              <span class="box-label">{{ $t('step2.initialHotTopics') }}</span>
               <div class="hot-topics-grid">
                 <span v-for="topic in simulationConfig.event_config.hot_topics" :key="topic" class="hot-topic-tag">
                   # {{ topic }}
@@ -397,7 +397,7 @@
 
             <!-- 初始帖子流 -->
             <div class="initial-posts-section">
-              <span class="box-label">初始激活序列 ({{ simulationConfig.event_config.initial_posts.length }})</span>
+              <span class="box-label">{{ $t('step2.initialActivationSeq', { count: simulationConfig.event_config.initial_posts.length }) }}</span>
               <div class="posts-timeline">
                 <div v-for="(post, idx) in simulationConfig.event_config.initial_posts" :key="idx" class="timeline-item">
                   <div class="timeline-marker"></div>
@@ -423,29 +423,29 @@
         <div class="card-header">
           <div class="step-info">
             <span class="step-num">05</span>
-            <span class="step-title">准备完成</span>
+            <span class="step-title">{{ $t('step2.setupComplete') }}</span>
           </div>
           <div class="step-status">
-            <span v-if="phase >= 4" class="badge processing">进行中</span>
-            <span v-else class="badge pending">等待</span>
+            <span v-if="phase >= 4" class="badge processing">{{ $t('step1.inProgress') }}</span>
+            <span v-else class="badge pending">{{ $t('common.pending') }}</span>
           </div>
         </div>
 
         <div class="card-content">
           <p class="api-note">POST /api/simulation/start</p>
-          <p class="description">模拟环境已准备完成，可以开始运行模拟</p>
+          <p class="description">{{ $t('step2.setupCompleteDesc') }}</p>
           
           <!-- 模拟轮数配置 - 只有在配置生成完成且轮数计算出来后才显示 -->
           <div v-if="simulationConfig && autoGeneratedRounds" class="rounds-config-section">
             <div class="rounds-header">
               <div class="header-left">
-                <span class="section-title">模拟轮数设定</span>
-                <span class="section-desc">MiroFish 自动规划推演现实 <span class="desc-highlight">{{ simulationConfig?.time_config?.total_simulation_hours || '-' }}</span> 小时，每轮代表现实 <span class="desc-highlight">{{ simulationConfig?.time_config?.minutes_per_round || '-' }}</span> 分钟时间流逝</span>
+                <span class="section-title">{{ $t('step2.roundsConfig') }}</span>
+                <span class="section-desc">{{ $t('step2.roundsConfigDesc', { hours: simulationConfig?.time_config?.total_simulation_hours || '-', minutesPerRound: simulationConfig?.time_config?.minutes_per_round || '-' }) }}</span>
               </div>
               <label class="switch-control">
                 <input type="checkbox" v-model="useCustomRounds">
                 <span class="switch-track"></span>
-                <span class="switch-label">自定义</span>
+                <span class="switch-label">{{ $t('step2.customToggle') }}</span>
               </label>
             </div>
             
@@ -454,10 +454,10 @@
                 <div class="slider-display">
                   <div class="slider-main-value">
                     <span class="val-num">{{ customMaxRounds }}</span>
-                    <span class="val-unit">轮</span>
+                    <span class="val-unit">{{ $t('step2.roundsUnit') }}</span>
                   </div>
                   <div class="slider-meta-info">
-                    <span>若Agent规模为100：预计耗时约 {{ Math.round(customMaxRounds * 0.6) }} 分钟</span>
+                    <span>{{ $t('step2.estimatedDuration', { minutes: Math.round(customMaxRounds * 0.6) }) }}</span>
                   </div>
                 </div>
 
@@ -478,7 +478,7 @@
                       :class="{ active: customMaxRounds === 40 }"
                       @click="customMaxRounds = 40"
                       :style="{ position: 'absolute', left: `calc(${(40 - 10) / (autoGeneratedRounds - 10) * 100}% - 30px)` }"
-                    >40 (推荐)</span>
+                    >{{ $t('step2.recommendedRounds', { rounds: 40 }) }}</span>
                     <span>{{ autoGeneratedRounds }}</span>
                   </div>
                 </div>
@@ -488,7 +488,7 @@
                 <div class="auto-info-card">
                   <div class="auto-value">
                     <span class="val-num">{{ autoGeneratedRounds }}</span>
-                    <span class="val-unit">轮</span>
+                    <span class="val-unit">{{ $t('step2.roundsUnit') }}</span>
                   </div>
                   <div class="auto-content">
                     <div class="auto-meta-row">
@@ -497,11 +497,11 @@
                           <circle cx="12" cy="12" r="10"></circle>
                           <polyline points="12 6 12 12 16 14"></polyline>
                         </svg>
-                        若Agent规模为100：预计耗时 {{ Math.round(autoGeneratedRounds * 0.6) }} 分钟
+                        {{ $t('step2.estimatedDurationFull', { minutes: Math.round(autoGeneratedRounds * 0.6) }) }}
                       </span>
                     </div>
                     <div class="auto-desc">
-                      <p class="highlight-tip" @click="useCustomRounds = true">若首次运行，强烈建议切换至‘自定义模式’减少模拟轮数，以便快速预览效果并降低报错风险 ➝</p>
+                      <p class="highlight-tip" @click="useCustomRounds = true">{{ $t('step2.customTip') }} ➝</p>
                     </div>
                   </div>
                 </div>
@@ -514,14 +514,14 @@
               class="action-btn secondary"
               @click="$emit('go-back')"
             >
-              ← 返回图谱构建
+              ← {{ $t('step2.backToGraphBuild') }}
             </button>
             <button 
               class="action-btn primary"
               :disabled="phase < 4"
               @click="handleStartSimulation"
             >
-              开始双世界并行模拟 ➝
+              {{ $t('step2.startDualWorldSim') }} ➝
             </button>
           </div>
         </div>
@@ -547,32 +547,32 @@
           <!-- 基本信息 -->
           <div class="modal-info-grid">
             <div class="info-item">
-              <span class="info-label">事件外显年龄</span>
-              <span class="info-value">{{ selectedProfile.age || '-' }} 岁</span>
+              <span class="info-label">{{ $t('step2.profileModalAge') }}</span>
+              <span class="info-value">{{ selectedProfile.age || '-' }} {{ $t('step2.yearsOld') }}</span>
             </div>
             <div class="info-item">
-              <span class="info-label">事件外显性别</span>
-              <span class="info-value">{{ { male: '男', female: '女', other: '其他' }[selectedProfile.gender] || selectedProfile.gender }}</span>
+              <span class="info-label">{{ $t('step2.profileModalGender') }}</span>
+              <span class="info-value">{{ { male: $t('step2.genderMale'), female: $t('step2.genderFemale'), other: $t('step2.genderOther') }[selectedProfile.gender] || selectedProfile.gender }}</span>
             </div>
             <div class="info-item">
-              <span class="info-label">国家/地区</span>
+              <span class="info-label">{{ $t('step2.profileModalCountry') }}</span>
               <span class="info-value">{{ selectedProfile.country || '-' }}</span>
             </div>
             <div class="info-item">
-              <span class="info-label">事件外显MBTI</span>
+              <span class="info-label">{{ $t('step2.profileModalMbti') }}</span>
               <span class="info-value mbti">{{ selectedProfile.mbti || '-' }}</span>
             </div>
           </div>
 
           <!-- 简介 -->
           <div class="modal-section">
-            <span class="section-label">人设简介</span>
-            <p class="section-bio">{{ selectedProfile.bio || '暂无简介' }}</p>
+            <span class="section-label">{{ $t('step2.profileModalBio') }}</span>
+            <p class="section-bio">{{ selectedProfile.bio || $t('step2.noBio') }}</p>
           </div>
 
           <!-- 关注话题 -->
           <div class="modal-section" v-if="selectedProfile.interested_topics?.length">
-            <span class="section-label">现实种子关联话题</span>
+            <span class="section-label">{{ $t('step2.profileModalTopics') }}</span>
             <div class="topics-grid">
               <span 
                 v-for="topic in selectedProfile.interested_topics" 
@@ -584,25 +584,25 @@
 
           <!-- 详细人设 -->
           <div class="modal-section" v-if="selectedProfile.persona">
-            <span class="section-label">详细人设背景</span>
+            <span class="section-label">{{ $t('step2.profileModalPersona') }}</span>
             
             <!-- 人设维度概览 -->
             <div class="persona-dimensions">
               <div class="dimension-card">
-                <span class="dim-title">事件全景经历</span>
-                <span class="dim-desc">在此事件中的完整行为轨迹</span>
+                <span class="dim-title">{{ $t('step2.personaDimExperience') }}</span>
+                <span class="dim-desc">{{ $t('step2.personaDimExperienceDesc') }}</span>
               </div>
               <div class="dimension-card">
-                <span class="dim-title">行为模式侧写</span>
-                <span class="dim-desc">经验总结与行事风格偏好</span>
+                <span class="dim-title">{{ $t('step2.personaDimBehavior') }}</span>
+                <span class="dim-desc">{{ $t('step2.personaDimBehaviorDesc') }}</span>
               </div>
               <div class="dimension-card">
-                <span class="dim-title">独特记忆印记</span>
-                <span class="dim-desc">基于现实种子形成的记忆</span>
+                <span class="dim-title">{{ $t('step2.personaDimMemory') }}</span>
+                <span class="dim-desc">{{ $t('step2.personaDimMemoryDesc') }}</span>
               </div>
               <div class="dimension-card">
-                <span class="dim-title">社会关系网络</span>
-                <span class="dim-desc">个体链接与交互图谱</span>
+                <span class="dim-title">{{ $t('step2.personaDimSocial') }}</span>
+                <span class="dim-desc">{{ $t('step2.personaDimSocialDesc') }}</span>
               </div>
             </div>
 
@@ -633,14 +633,17 @@
 
 <script setup>
 import { ref, computed, watch, onMounted, onUnmounted, nextTick } from 'vue'
-import { 
-  prepareSimulation, 
-  getPrepareStatus, 
+import { useI18n } from 'vue-i18n'
+import {
+  prepareSimulation,
+  getPrepareStatus,
   getSimulationProfilesRealtime,
   getSimulationConfig,
-  getSimulationConfigRealtime 
+  getSimulationConfigRealtime
 } from '../api/simulation'
 
+const { t } = useI18n()
+
 const props = defineProps({
   simulationId: String,  // 从父组件传入
   projectData: Object,
@@ -680,7 +683,7 @@ watch(currentStage, (newStage) => {
     phase.value = 2
     // 进入配置生成阶段，开始轮询配置
     if (!configTimer) {
-      addLog('开始生成双平台模拟配置...')
+      addLog(t('log.startGeneratingConfig'))
       startConfigPolling()
     }
   } else if (newStage === '准备模拟脚本' || newStage === 'copying_scripts') {
@@ -745,10 +748,10 @@ const handleStartSimulation = () => {
   if (useCustomRounds.value) {
     // 用户自定义轮数，传递 max_rounds 参数
     params.maxRounds = customMaxRounds.value
-    addLog(`开始模拟，自定义轮数: ${customMaxRounds.value} 轮`)
+    addLog(t('log.startSimCustomRounds', { rounds: customMaxRounds.value }))
   } else {
     // 用户选择保持自动生成的轮数，不传递 max_rounds 参数
-    addLog(`开始模拟，使用自动配置轮数: ${autoGeneratedRounds.value} 轮`)
+    addLog(t('log.startSimAutoRounds', { rounds: autoGeneratedRounds.value }))
   }
   
   emit('next-step', params)
@@ -768,15 +771,15 @@ const selectProfile = (profile) => {
 // 自动开始准备模拟
 const startPrepareSimulation = async () => {
   if (!props.simulationId) {
-    addLog('错误：缺少 simulationId')
+    addLog(t('log.errorMissingSimId'))
     emit('update-status', 'error')
     return
   }
   
   // 标记第一步完成，开始第二步
   phase.value = 1
-  addLog(`模拟实例已创建: ${props.simulationId}`)
-  addLog('正在准备模拟环境...')
+  addLog(t('log.simInstanceCreated', { id: props.simulationId }))
+  addLog(t('log.preparingSimEnv'))
   emit('update-status', 'processing')
   
   try {
@@ -788,35 +791,35 @@ const startPrepareSimulation = async () => {
     
     if (res.success && res.data) {
       if (res.data.already_prepared) {
-        addLog('检测到已有完成的准备工作，直接使用')
+        addLog(t('log.detectedExistingPrep'))
         await loadPreparedData()
         return
       }
       
       taskId.value = res.data.task_id
-      addLog(`准备任务已启动`)
-      addLog(`  └─ Task ID: ${res.data.task_id}`)
+      addLog(t('log.prepareTaskStarted'))
+      addLog(t('log.prepareTaskId', { taskId: res.data.task_id }))
       
       // 立即设置预期Agent总数（从prepare接口返回值获取）
       if (res.data.expected_entities_count) {
         expectedTotal.value = res.data.expected_entities_count
-        addLog(`从Zep图谱读取到 ${res.data.expected_entities_count} 个实体`)
+        addLog(t('log.zepEntitiesFound', { count: res.data.expected_entities_count }))
         if (res.data.entity_types && res.data.entity_types.length > 0) {
-          addLog(`  └─ 实体类型: ${res.data.entity_types.join(', ')}`)
+          addLog(t('log.entityTypes', { types: res.data.entity_types.join(', ') }))
         }
       }
       
-      addLog('开始轮询准备进度...')
+      addLog(t('log.startPollingProgress'))
       // 开始轮询进度
       startPolling()
       // 开始实时获取 Profiles
       startProfilesPolling()
     } else {
-      addLog(`准备失败: ${res.error || '未知错误'}`)
+      addLog(t('log.prepareFailed', { error: res.error || t('common.unknownError') }))
       emit('update-status', 'error')
     }
   } catch (err) {
-    addLog(`准备异常: ${err.message}`)
+    addLog(t('log.prepareException', { error: err.message }))
     emit('update-status', 'error')
   }
 }
@@ -890,12 +893,12 @@ const pollPrepareStatus = async () => {
       
       // 检查是否完成
       if (data.status === 'completed' || data.status === 'ready' || data.already_prepared) {
-        addLog('✓ 准备工作已完成')
+        addLog(t('log.prepareComplete'))
         stopPolling()
         stopProfilesPolling()
         await loadPreparedData()
       } else if (data.status === 'failed') {
-        addLog(`✗ 准备失败: ${data.error || '未知错误'}`)
+        addLog(t('log.prepareFailedWithError', { error: data.error || t('common.unknownError') }))
         stopPolling()
         stopProfilesPolling()
       }
@@ -934,13 +937,13 @@ const fetchProfilesRealtime = async () => {
         const latestProfile = profiles.value[currentCount - 1]
         const profileName = latestProfile?.name || latestProfile?.username || `Agent_${currentCount}`
         if (currentCount === 1) {
-          addLog(`开始生成Agent人设...`)
+          addLog(t('log.startGeneratingAgentProfiles'))
         }
-        addLog(`→ Agent人设 ${currentCount}/${total}: ${profileName} (${latestProfile?.profession || '未知职业'})`)
-        
+        addLog(t('log.agentProfile', { current: currentCount, total: total, name: profileName, profession: latestProfile?.profession || t('step2.unknownProfession') }))
+
         // 如果全部生成完成
         if (expectedTotal.value && currentCount >= expectedTotal.value) {
-          addLog(`✓ 全部 ${currentCount} 个Agent人设生成完成`)
+          addLog(t('log.allProfilesComplete', { count: currentCount }))
         }
       }
     }
@@ -974,41 +977,41 @@ const fetchConfigRealtime = async () => {
       if (data.generation_stage && data.generation_stage !== lastLoggedConfigStage) {
         lastLoggedConfigStage = data.generation_stage
         if (data.generation_stage === 'generating_profiles') {
-          addLog('正在生成Agent人设配置...')
+          addLog(t('log.generatingAgentProfileConfig'))
         } else if (data.generation_stage === 'generating_config') {
-          addLog('正在调用LLM生成模拟配置参数...')
+          addLog(t('log.generatingLLMConfig'))
         }
       }
       
       // 如果配置已生成
       if (data.config_generated && data.config) {
         simulationConfig.value = data.config
-        addLog('✓ 模拟配置生成完成')
-        
+        addLog(t('log.configComplete'))
+
         // 显示详细配置摘要
         if (data.summary) {
-          addLog(`  ├─ Agent数量: ${data.summary.total_agents}个`)
-          addLog(`  ├─ 模拟时长: ${data.summary.simulation_hours}小时`)
-          addLog(`  ├─ 初始帖子: ${data.summary.initial_posts_count}条`)
-          addLog(`  ├─ 热点话题: ${data.summary.hot_topics_count}个`)
-          addLog(`  └─ 平台配置: Twitter ${data.summary.has_twitter_config ? '✓' : '✗'}, Reddit ${data.summary.has_reddit_config ? '✓' : '✗'}`)
+          addLog(t('log.configSummaryAgents', { count: data.summary.total_agents }))
+          addLog(t('log.configSummaryHours', { hours: data.summary.simulation_hours }))
+          addLog(t('log.configSummaryPosts', { count: data.summary.initial_posts_count }))
+          addLog(t('log.configSummaryTopics', { count: data.summary.hot_topics_count }))
+          addLog(t('log.configSummaryPlatforms', { twitter: data.summary.has_twitter_config ? '✓' : '✗', reddit: data.summary.has_reddit_config ? '✓' : '✗' }))
         }
         
         // 显示时间配置详情
         if (data.config.time_config) {
           const tc = data.config.time_config
-          addLog(`时间配置: 每轮${tc.minutes_per_round}分钟, 共${Math.floor((tc.total_simulation_hours * 60) / tc.minutes_per_round)}轮`)
+          addLog(t('log.timeConfigDetail', { minutes: tc.minutes_per_round, rounds: Math.floor((tc.total_simulation_hours * 60) / tc.minutes_per_round) }))
         }
         
         // 显示事件配置
         if (data.config.event_config?.narrative_direction) {
           const narrative = data.config.event_config.narrative_direction
-          addLog(`叙事方向: ${narrative.length > 50 ? narrative.substring(0, 50) + '...' : narrative}`)
+          addLog(t('log.narrativeDirection', { direction: narrative.length > 50 ? narrative.substring(0, 50) + '...' : narrative }))
         }
         
         stopConfigPolling()
         phase.value = 4
-        addLog('✓ 环境搭建完成，可以开始模拟')
+        addLog(t('log.envSetupComplete'))
         emit('update-status', 'completed')
       }
     }
@@ -1019,11 +1022,11 @@ const fetchConfigRealtime = async () => {
 
 const loadPreparedData = async () => {
   phase.value = 2
-  addLog('正在加载已有配置数据...')
+  addLog(t('log.loadingExistingConfig'))
 
   // 最后获取一次 Profiles
   await fetchProfilesRealtime()
-  addLog(`已加载 ${profiles.value.length} 个Agent人设`)
+  addLog(t('log.loadedAgentProfiles', { count: profiles.value.length }))
 
   // 获取配置（使用实时接口）
   try {
@@ -1031,26 +1034,26 @@ const loadPreparedData = async () => {
     if (res.success && res.data) {
       if (res.data.config_generated && res.data.config) {
         simulationConfig.value = res.data.config
-        addLog('✓ 模拟配置加载成功')
-        
+        addLog(t('log.configLoadSuccess'))
+
         // 显示详细配置摘要
         if (res.data.summary) {
-          addLog(`  ├─ Agent数量: ${res.data.summary.total_agents}个`)
-          addLog(`  ├─ 模拟时长: ${res.data.summary.simulation_hours}小时`)
-          addLog(`  └─ 初始帖子: ${res.data.summary.initial_posts_count}条`)
+          addLog(t('log.configSummaryAgents', { count: res.data.summary.total_agents }))
+          addLog(t('log.configSummaryHours', { hours: res.data.summary.simulation_hours }))
+          addLog(t('log.configSummaryPostsAlt', { count: res.data.summary.initial_posts_count }))
         }
-        
-        addLog('✓ 环境搭建完成，可以开始模拟')
+
+        addLog(t('log.envSetupComplete'))
         phase.value = 4
         emit('update-status', 'completed')
       } else {
         // 配置尚未生成，开始轮询
-        addLog('配置生成中，开始轮询等待...')
+        addLog(t('log.configGenerating'))
         startConfigPolling()
       }
     }
   } catch (err) {
-    addLog(`加载配置失败: ${err.message}`)
+    addLog(t('log.loadConfigFailed', { error: err.message }))
     emit('update-status', 'error')
   }
 }
@@ -1068,7 +1071,7 @@ watch(() => props.systemLogs?.length, () => {
 onMounted(() => {
   // 自动开始准备流程
   if (props.simulationId) {
-    addLog('Step2 环境搭建初始化')
+    addLog(t('log.step2Init'))
     startPrepareSimulation()
   }
 })

frontend/src/components/Step3Simulation.vue

@@ -22,7 +22,7 @@
               <span class="stat-value mono">{{ runStatus.twitter_current_round || 0 }}<span class="stat-total">/{{ runStatus.total_rounds || maxRounds || '-' }}</span></span>
             </span>
             <span class="stat">
-              <span class="stat-label">Elapsed Time</span>
+              <span class="stat-label">TIME</span>
               <span class="stat-value mono">{{ twitterElapsedTime }}</span>
             </span>
             <span class="stat">
@@ -63,7 +63,7 @@
               <span class="stat-value mono">{{ runStatus.reddit_current_round || 0 }}<span class="stat-total">/{{ runStatus.total_rounds || maxRounds || '-' }}</span></span>
             </span>
             <span class="stat">
-              <span class="stat-label">Elapsed Time</span>
+              <span class="stat-label">TIME</span>
               <span class="stat-value mono">{{ redditElapsedTime }}</span>
             </span>
             <span class="stat">
@@ -97,7 +97,7 @@
           @click="handleNextStep"
         >
           <span v-if="isGeneratingReport" class="loading-spinner-small"></span>
-          {{ isGeneratingReport ? '启动中...' : '开始生成结果报告' }} 
+          {{ isGeneratingReport ? $t('step3.generatingReportBtn') : $t('step3.startGenerateReportBtn') }}
           <span v-if="!isGeneratingReport" class="arrow-icon">→</span>
         </button>
       </div>
@@ -288,14 +288,17 @@
 <script setup>
 import { ref, computed, watch, onMounted, onUnmounted, nextTick } from 'vue'
 import { useRouter } from 'vue-router'
-import { 
-  startSimulation, 
+import { useI18n } from 'vue-i18n'
+import {
+  startSimulation,
   stopSimulation,
-  getRunStatus, 
+  getRunStatus,
   getRunStatusDetail
 } from '../api/simulation'
 import { generateReport } from '../api/report'
 
+const { t } = useI18n()
+
 const props = defineProps({
   simulationId: String,
   maxRounds: Number, // 从Step2传入的最大轮数
@@ -379,16 +382,16 @@ const resetAllState = () => {
 // 启动模拟
 const doStartSimulation = async () => {
   if (!props.simulationId) {
-    addLog('错误：缺少 simulationId')
+    addLog(t('log.errorMissingSimId'))
     return
   }
-  
+
   // 先重置所有状态，确保不会受到上一次模拟的影响
   resetAllState()
   
   isStarting.value = true
   startError.value = null
-  addLog('正在启动双平台并行模拟...')
+  addLog(t('log.startingDualSim'))
   emit('update-status', 'processing')
   
   try {
@@ -401,18 +404,18 @@ const doStartSimulation = async () => {
     
     if (props.maxRounds) {
       params.max_rounds = props.maxRounds
-      addLog(`设置最大模拟轮数: ${props.maxRounds}`)
+      addLog(t('log.setMaxRounds', { rounds: props.maxRounds }))
     }
     
-    addLog('已开启动态图谱更新模式')
+    addLog(t('log.graphMemoryUpdateEnabled'))
     
     const res = await startSimulation(params)
     
     if (res.success && res.data) {
       if (res.data.force_restarted) {
-        addLog('✓ 已清理旧的模拟日志，重新开始模拟')
+        addLog(t('log.oldSimCleared'))
       }
-      addLog('✓ 模拟引擎启动成功')
+      addLog(t('log.engineStarted'))
       addLog(`  ├─ PID: ${res.data.process_pid || '-'}`)
       
       phase.value = 1
@@ -422,12 +425,12 @@ const doStartSimulation = async () => {
       startDetailPolling()
     } else {
       startError.value = res.error || '启动失败'
-      addLog(`✗ 启动失败: ${res.error || '未知错误'}`)
+      addLog(t('log.startFailed', { error: res.error || t('common.unknownError') }))
       emit('update-status', 'error')
     }
   } catch (err) {
     startError.value = err.message
-    addLog(`✗ 启动异常: ${err.message}`)
+    addLog(t('log.startException', { error: err.message }))
     emit('update-status', 'error')
   } finally {
     isStarting.value = false
@@ -439,21 +442,21 @@ const handleStopSimulation = async () => {
   if (!props.simulationId) return
   
   isStopping.value = true
-  addLog('正在停止模拟...')
+  addLog(t('log.stoppingSim'))
   
   try {
     const res = await stopSimulation({ simulation_id: props.simulationId })
     
     if (res.success) {
-      addLog('✓ 模拟已停止')
+      addLog(t('log.simStoppedSuccess'))
       phase.value = 2
       stopPolling()
       emit('update-status', 'completed')
     } else {
-      addLog(`停止失败: ${res.error || '未知错误'}`)
+      addLog(t('log.stopFailed', { error: res.error || t('common.unknownError') }))
     }
   } catch (err) {
-    addLog(`停止异常: ${err.message}`)
+    addLog(t('log.stopException', { error: err.message }))
   } finally {
     isStopping.value = false
   }
@@ -517,9 +520,9 @@ const fetchRunStatus = async () => {
       
       if (isCompleted || platformsCompleted) {
         if (platformsCompleted && !isCompleted) {
-          addLog('✓ 检测到所有平台模拟已结束')
+          addLog(t('log.allPlatformsCompleted'))
         }
-        addLog('✓ 模拟已完成')
+        addLog(t('log.simCompleted'))
         phase.value = 2
         stopPolling()
         emit('update-status', 'completed')
@@ -640,17 +643,17 @@ const formatActionTime = (timestamp) => {
 
 const handleNextStep = async () => {
   if (!props.simulationId) {
-    addLog('错误：缺少 simulationId')
+    addLog(t('log.errorMissingSimId'))
     return
   }
-  
+
   if (isGeneratingReport.value) {
-    addLog('报告生成请求已发送，请稍候...')
+    addLog(t('log.reportRequestSent'))
     return
   }
   
   isGeneratingReport.value = true
-  addLog('正在启动报告生成...')
+  addLog(t('log.startingReportGen'))
   
   try {
     const res = await generateReport({
@@ -660,16 +663,16 @@ const handleNextStep = async () => {
     
     if (res.success && res.data) {
       const reportId = res.data.report_id
-      addLog(`✓ 报告生成任务已启动: ${reportId}`)
+      addLog(t('log.reportGenTaskStarted', { reportId }))
       
       // 跳转到报告页面
       router.push({ name: 'Report', params: { reportId } })
     } else {
-      addLog(`✗ 启动报告生成失败: ${res.error || '未知错误'}`)
+      addLog(t('log.reportGenFailed', { error: res.error || t('common.unknownError') }))
       isGeneratingReport.value = false
     }
   } catch (err) {
-    addLog(`✗ 启动报告生成异常: ${err.message}`)
+    addLog(t('log.reportGenException', { error: err.message }))
     isGeneratingReport.value = false
   }
 }
@@ -685,7 +688,7 @@ watch(() => props.systemLogs?.length, () => {
 })
 
 onMounted(() => {
-  addLog('Step3 模拟运行初始化')
+  addLog(t('log.step3Init'))
   if (props.simulationId) {
     doStartSimulation()
   }

frontend/src/components/Step4Report.vue

@@ -58,7 +58,7 @@
                       <path d="M12 2a10 10 0 0 1 10 10" stroke-width="4" stroke="#4B5563" stroke-linecap="round"></path>
                     </svg>
                   </div>
-                  <span class="loading-text">正在生成{{ section.title }}...</span>
+                  <span class="loading-text">{{ $t('step4.generatingSection', { title: section.title }) }}</span>
                 </div>
               </div>
             </div>
@@ -129,7 +129,7 @@
 
           <!-- Next Step Button - 在完成后显示 -->
           <button v-if="isComplete" class="next-step-btn" @click="goToInteraction">
-            <span>进入深度互动</span>
+            <span>{{ $t('step4.goToInteraction') }}</span>
             <svg viewBox="0 0 24 24" width="16" height="16" fill="none" stroke="currentColor" stroke-width="2">
               <line x1="5" y1="12" x2="19" y2="12"></line>
               <polyline points="12 5 19 12 12 19"></polyline>
@@ -392,9 +392,11 @@
 <script setup>
 import { ref, computed, watch, onMounted, onUnmounted, nextTick, h, reactive } from 'vue'
 import { useRouter } from 'vue-router'
+import { useI18n } from 'vue-i18n'
 import { getAgentLog, getConsoleLog } from '../api/report'
 
 const router = useRouter()
+const { t } = useI18n()
 
 const props = defineProps({
   reportId: String,
@@ -962,6 +964,7 @@ const parseQuickSearch = (text) => {
 const InsightDisplay = {
   props: ['result', 'resultLength'],
   setup(props) {
+    const { t } = useI18n()
     const activeTab = ref('facts') // 'facts', 'entities', 'relations', 'subqueries'
     const expandedFacts = ref(false)
     const expandedEntities = ref(false)
@@ -1003,7 +1006,7 @@ const InsightDisplay = {
         ]),
         props.result.query && h('div', { class: 'header-topic' }, props.result.query),
         props.result.simulationRequirement && h('div', { class: 'header-scenario' }, [
-          h('span', { class: 'scenario-label' }, '预测场景: '),
+          h('span', { class: 'scenario-label' }, t('step4.scenarioLabel')),
           h('span', { class: 'scenario-text' }, props.result.simulationRequirement)
         ])
       ]),
@@ -1014,25 +1017,25 @@ const InsightDisplay = {
           class: ['insight-tab', { active: activeTab.value === 'facts' }],
           onClick: () => { activeTab.value = 'facts' }
         }, [
-          h('span', { class: 'tab-label' }, `当前关键记忆 (${props.result.facts.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabKeyFacts', { count: props.result.facts.length }))
         ]),
         h('button', {
           class: ['insight-tab', { active: activeTab.value === 'entities' }],
           onClick: () => { activeTab.value = 'entities' }
         }, [
-          h('span', { class: 'tab-label' }, `核心实体 (${props.result.entities.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabCoreEntities', { count: props.result.entities.length }))
         ]),
         h('button', {
           class: ['insight-tab', { active: activeTab.value === 'relations' }],
           onClick: () => { activeTab.value = 'relations' }
         }, [
-          h('span', { class: 'tab-label' }, `关系链 (${props.result.relations.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabRelationChains', { count: props.result.relations.length }))
         ]),
         props.result.subQueries.length > 0 && h('button', {
           class: ['insight-tab', { active: activeTab.value === 'subqueries' }],
           onClick: () => { activeTab.value = 'subqueries' }
         }, [
-          h('span', { class: 'tab-label' }, `子问题 (${props.result.subQueries.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabSubQueries', { count: props.result.subQueries.length }))
         ])
       ]),
       
@@ -1041,8 +1044,8 @@ const InsightDisplay = {
         // Facts Tab
         activeTab.value === 'facts' && props.result.facts.length > 0 && h('div', { class: 'facts-panel' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '时序记忆中所关联的最新关键事实'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.facts.length} 条`)
+            h('span', { class: 'panel-title' }, t('step4.panelKeyFacts')),
+            h('span', { class: 'panel-count' }, t('step4.totalCount', { count: props.result.facts.length }))
           ]),
           h('div', { class: 'facts-list' },
             (expandedFacts.value ? props.result.facts : props.result.facts.slice(0, INITIAL_SHOW_COUNT)).map((fact, i) => 
@@ -1055,35 +1058,35 @@ const InsightDisplay = {
           props.result.facts.length > INITIAL_SHOW_COUNT && h('button', {
             class: 'expand-btn',
             onClick: () => { expandedFacts.value = !expandedFacts.value }
-          }, expandedFacts.value ? `收起 ▲` : `展开全部 ${props.result.facts.length} 条 ▼`)
+          }, expandedFacts.value ? t('step4.collapse') : t('step4.expandAll', { count: props.result.facts.length }))
         ]),
-        
+
         // Entities Tab
         activeTab.value === 'entities' && props.result.entities.length > 0 && h('div', { class: 'entities-panel' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '核心实体'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.entities.length} 个`)
+            h('span', { class: 'panel-title' }, t('step4.panelCoreEntities')),
+            h('span', { class: 'panel-count' }, t('step4.totalEntityCount', { count: props.result.entities.length }))
           ]),
           h('div', { class: 'entities-grid' },
             (expandedEntities.value ? props.result.entities : props.result.entities.slice(0, 12)).map((entity, i) => 
               h('div', { class: 'entity-tag', key: i, title: entity.summary || '' }, [
                 h('span', { class: 'entity-name' }, entity.name),
                 h('span', { class: 'entity-type' }, entity.type),
-                entity.relatedFactsCount > 0 && h('span', { class: 'entity-fact-count' }, `${entity.relatedFactsCount}条`)
+                entity.relatedFactsCount > 0 && h('span', { class: 'entity-fact-count' }, t('step4.factCount', { count: entity.relatedFactsCount }))
               ])
             )
           ),
           props.result.entities.length > 12 && h('button', {
             class: 'expand-btn',
             onClick: () => { expandedEntities.value = !expandedEntities.value }
-          }, expandedEntities.value ? `收起 ▲` : `展开全部 ${props.result.entities.length} 个 ▼`)
+          }, expandedEntities.value ? t('step4.collapse') : t('step4.expandAllEntities', { count: props.result.entities.length }))
         ]),
-        
+
         // Relations Tab
         activeTab.value === 'relations' && props.result.relations.length > 0 && h('div', { class: 'relations-panel' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '关系链'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.relations.length} 条`)
+            h('span', { class: 'panel-title' }, t('step4.panelRelationChains')),
+            h('span', { class: 'panel-count' }, t('step4.totalCount', { count: props.result.relations.length }))
           ]),
           h('div', { class: 'relations-list' },
             (expandedRelations.value ? props.result.relations : props.result.relations.slice(0, INITIAL_SHOW_COUNT)).map((rel, i) => 
@@ -1101,14 +1104,14 @@ const InsightDisplay = {
           props.result.relations.length > INITIAL_SHOW_COUNT && h('button', {
             class: 'expand-btn',
             onClick: () => { expandedRelations.value = !expandedRelations.value }
-          }, expandedRelations.value ? `收起 ▲` : `展开全部 ${props.result.relations.length} 条 ▼`)
+          }, expandedRelations.value ? t('step4.collapse') : t('step4.expandAll', { count: props.result.relations.length }))
         ]),
-        
+
         // Sub-queries Tab
         activeTab.value === 'subqueries' && props.result.subQueries.length > 0 && h('div', { class: 'subqueries-panel' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '漂移查询生成分析子问题'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.subQueries.length} 个`)
+            h('span', { class: 'panel-title' }, t('step4.panelSubQueries')),
+            h('span', { class: 'panel-count' }, t('step4.totalEntityCount', { count: props.result.subQueries.length }))
           ]),
           h('div', { class: 'subqueries-list' },
             props.result.subQueries.map((sq, i) => 
@@ -1121,9 +1124,9 @@ const InsightDisplay = {
         ]),
         
         // Empty state
-        activeTab.value === 'facts' && props.result.facts.length === 0 && h('div', { class: 'empty-state' }, '暂无当前关键记忆'),
-        activeTab.value === 'entities' && props.result.entities.length === 0 && h('div', { class: 'empty-state' }, '暂无核心实体'),
-        activeTab.value === 'relations' && props.result.relations.length === 0 && h('div', { class: 'empty-state' }, '暂无关系链')
+        activeTab.value === 'facts' && props.result.facts.length === 0 && h('div', { class: 'empty-state' }, t('step4.emptyKeyFacts')),
+        activeTab.value === 'entities' && props.result.entities.length === 0 && h('div', { class: 'empty-state' }, t('step4.emptyCoreEntities')),
+        activeTab.value === 'relations' && props.result.relations.length === 0 && h('div', { class: 'empty-state' }, t('step4.emptyRelationChains'))
       ])
     ])
   }
@@ -1133,6 +1136,7 @@ const InsightDisplay = {
 const PanoramaDisplay = {
   props: ['result', 'resultLength'],
   setup(props) {
+    const { t } = useI18n()
     const activeTab = ref('active') // 'active', 'historical', 'entities'
     const expandedActive = ref(false)
     const expandedHistorical = ref(false)
@@ -1176,19 +1180,19 @@ const PanoramaDisplay = {
           class: ['panorama-tab', { active: activeTab.value === 'active' }],
           onClick: () => { activeTab.value = 'active' }
         }, [
-          h('span', { class: 'tab-label' }, `当前有效记忆 (${props.result.activeFacts.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabActiveFacts', { count: props.result.activeFacts.length }))
         ]),
         h('button', {
           class: ['panorama-tab', { active: activeTab.value === 'historical' }],
           onClick: () => { activeTab.value = 'historical' }
         }, [
-          h('span', { class: 'tab-label' }, `历史记忆 (${props.result.historicalFacts.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabHistoricalFacts', { count: props.result.historicalFacts.length }))
         ]),
         h('button', {
           class: ['panorama-tab', { active: activeTab.value === 'entities' }],
           onClick: () => { activeTab.value = 'entities' }
         }, [
-          h('span', { class: 'tab-label' }, `涉及实体 (${props.result.entities.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabEntities', { count: props.result.entities.length }))
         ])
       ]),
       
@@ -1197,8 +1201,8 @@ const PanoramaDisplay = {
         // Active Facts Tab
         activeTab.value === 'active' && h('div', { class: 'facts-panel active-facts' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '当前有效记忆'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.activeFacts.length} 条`)
+            h('span', { class: 'panel-title' }, t('step4.panelActiveFacts')),
+            h('span', { class: 'panel-count' }, t('step4.totalCount', { count: props.result.activeFacts.length }))
           ]),
           props.result.activeFacts.length > 0 ? h('div', { class: 'facts-list' },
             (expandedActive.value ? props.result.activeFacts : props.result.activeFacts.slice(0, INITIAL_SHOW_COUNT)).map((fact, i) => 
@@ -1207,18 +1211,18 @@ const PanoramaDisplay = {
                 h('div', { class: 'fact-content' }, fact)
               ])
             )
-          ) : h('div', { class: 'empty-state' }, '暂无当前有效记忆'),
+          ) : h('div', { class: 'empty-state' }, t('step4.emptyActiveFacts')),
           props.result.activeFacts.length > INITIAL_SHOW_COUNT && h('button', {
             class: 'expand-btn',
             onClick: () => { expandedActive.value = !expandedActive.value }
-          }, expandedActive.value ? `收起 ▲` : `展开全部 ${props.result.activeFacts.length} 条 ▼`)
+          }, expandedActive.value ? t('step4.collapse') : t('step4.expandAll', { count: props.result.activeFacts.length }))
         ]),
         
         // Historical Facts Tab
         activeTab.value === 'historical' && h('div', { class: 'facts-panel historical-facts' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '历史记忆'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.historicalFacts.length} 条`)
+            h('span', { class: 'panel-title' }, t('step4.panelHistoricalFacts')),
+            h('span', { class: 'panel-count' }, t('step4.totalCount', { count: props.result.historicalFacts.length }))
           ]),
           props.result.historicalFacts.length > 0 ? h('div', { class: 'facts-list' },
             (expandedHistorical.value ? props.result.historicalFacts : props.result.historicalFacts.slice(0, INITIAL_SHOW_COUNT)).map((fact, i) => 
@@ -1239,18 +1243,18 @@ const PanoramaDisplay = {
                 ])
               ])
             )
-          ) : h('div', { class: 'empty-state' }, '暂无历史记忆'),
+          ) : h('div', { class: 'empty-state' }, t('step4.emptyHistoricalFacts')),
           props.result.historicalFacts.length > INITIAL_SHOW_COUNT && h('button', {
             class: 'expand-btn',
             onClick: () => { expandedHistorical.value = !expandedHistorical.value }
-          }, expandedHistorical.value ? `收起 ▲` : `展开全部 ${props.result.historicalFacts.length} 条 ▼`)
+          }, expandedHistorical.value ? t('step4.collapse') : t('step4.expandAll', { count: props.result.historicalFacts.length }))
         ]),
         
         // Entities Tab
         activeTab.value === 'entities' && h('div', { class: 'entities-panel' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '涉及实体'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.entities.length} 个`)
+            h('span', { class: 'panel-title' }, t('step4.panelEntities')),
+            h('span', { class: 'panel-count' }, t('step4.totalEntityCount', { count: props.result.entities.length }))
           ]),
           props.result.entities.length > 0 ? h('div', { class: 'entities-grid' },
             (expandedEntities.value ? props.result.entities : props.result.entities.slice(0, 8)).map((entity, i) => 
@@ -1259,11 +1263,11 @@ const PanoramaDisplay = {
                 entity.type && h('span', { class: 'entity-type' }, entity.type)
               ])
             )
-          ) : h('div', { class: 'empty-state' }, '暂无涉及实体'),
+          ) : h('div', { class: 'empty-state' }, t('step4.emptyEntities')),
           props.result.entities.length > 8 && h('button', {
             class: 'expand-btn',
             onClick: () => { expandedEntities.value = !expandedEntities.value }
-          }, expandedEntities.value ? `收起 ▲` : `展开全部 ${props.result.entities.length} 个 ▼`)
+          }, expandedEntities.value ? t('step4.collapse') : t('step4.expandAllEntities', { count: props.result.entities.length }))
         ])
       ])
     ])
@@ -1512,7 +1516,7 @@ const InterviewDisplay = {
                           h('line', { x1: '2', y1: '12', x2: '22', y2: '12' }),
                           h('path', { d: 'M12 2a15.3 15.3 0 0 1 4 10 15.3 15.3 0 0 1-4 10 15.3 15.3 0 0 1-4-10 15.3 15.3 0 0 1 4-10z' })
                         ]),
-                        h('span', {}, '世界1')
+                        h('span', {}, t('step4.world1'))
                       ]),
                       h('button', {
                         class: ['platform-btn', { active: currentPlatform === 'reddit' }],
@@ -1521,7 +1525,7 @@ const InterviewDisplay = {
                         h('svg', { class: 'platform-icon', viewBox: '0 0 24 24', width: 12, height: 12, fill: 'none', stroke: 'currentColor', 'stroke-width': 2 }, [
                           h('path', { d: 'M21 11.5a8.38 8.38 0 0 1-.9 3.8 8.5 8.5 0 0 1-7.6 4.7 8.38 8.38 0 0 1-3.8-.9L3 21l1.9-5.7a8.38 8.38 0 0 1-.9-3.8 8.5 8.5 0 0 1 4.7-7.6 8.38 8.38 0 0 1 3.8-.9h.5a8.48 8.48 0 0 1 8 8v.5z' })
                         ]),
-                        h('span', {}, '世界2')
+                        h('span', {}, t('step4.world2'))
                       ])
                     ])
                   ]),
@@ -1577,6 +1581,7 @@ const InterviewDisplay = {
 const QuickSearchDisplay = {
   props: ['result', 'resultLength'],
   setup(props) {
+    const { t } = useI18n()
     const activeTab = ref('facts') // 'facts', 'edges', 'nodes'
     const expandedFacts = ref(false)
     const INITIAL_SHOW_COUNT = 5
@@ -1610,7 +1615,7 @@ const QuickSearchDisplay = {
           ])
         ]),
         props.result.query && h('div', { class: 'header-query' }, [
-          h('span', { class: 'query-label' }, '搜索: '),
+          h('span', { class: 'query-label' }, t('step4.searchLabel')),
           h('span', { class: 'query-text' }, props.result.query)
         ])
       ]),
@@ -1621,19 +1626,19 @@ const QuickSearchDisplay = {
           class: ['quicksearch-tab', { active: activeTab.value === 'facts' }],
           onClick: () => { activeTab.value = 'facts' }
         }, [
-          h('span', { class: 'tab-label' }, `事实 (${props.result.facts.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabFacts', { count: props.result.facts.length }))
         ]),
         hasEdges.value && h('button', {
           class: ['quicksearch-tab', { active: activeTab.value === 'edges' }],
           onClick: () => { activeTab.value = 'edges' }
         }, [
-          h('span', { class: 'tab-label' }, `关系 (${props.result.edges.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabEdges', { count: props.result.edges.length }))
         ]),
         hasNodes.value && h('button', {
           class: ['quicksearch-tab', { active: activeTab.value === 'nodes' }],
           onClick: () => { activeTab.value = 'nodes' }
         }, [
-          h('span', { class: 'tab-label' }, `节点 (${props.result.nodes.length})`)
+          h('span', { class: 'tab-label' }, t('step4.tabNodes', { count: props.result.nodes.length }))
         ])
       ]),
       
@@ -1642,8 +1647,8 @@ const QuickSearchDisplay = {
         // Facts (always show if no tabs, or when facts tab is active)
         ((!showTabs.value) || activeTab.value === 'facts') && h('div', { class: 'facts-panel' }, [
           !showTabs.value && h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '搜索结果'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.facts.length} 条`)
+            h('span', { class: 'panel-title' }, t('step4.panelSearchResults')),
+            h('span', { class: 'panel-count' }, t('step4.totalCount', { count: props.result.facts.length }))
           ]),
           props.result.facts.length > 0 ? h('div', { class: 'facts-list' },
             (expandedFacts.value ? props.result.facts : props.result.facts.slice(0, INITIAL_SHOW_COUNT)).map((fact, i) => 
@@ -1652,18 +1657,18 @@ const QuickSearchDisplay = {
                 h('div', { class: 'fact-content' }, fact)
               ])
             )
-          ) : h('div', { class: 'empty-state' }, '未找到相关结果'),
+          ) : h('div', { class: 'empty-state' }, t('step4.emptySearchResults')),
           props.result.facts.length > INITIAL_SHOW_COUNT && h('button', {
             class: 'expand-btn',
             onClick: () => { expandedFacts.value = !expandedFacts.value }
-          }, expandedFacts.value ? `收起 ▲` : `展开全部 ${props.result.facts.length} 条 ▼`)
+          }, expandedFacts.value ? t('step4.collapse') : t('step4.expandAll', { count: props.result.facts.length }))
         ]),
         
         // Edges Tab
         activeTab.value === 'edges' && hasEdges.value && h('div', { class: 'edges-panel' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '相关关系'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.edges.length} 条`)
+            h('span', { class: 'panel-title' }, t('step4.panelRelatedEdges')),
+            h('span', { class: 'panel-count' }, t('step4.totalCount', { count: props.result.edges.length }))
           ]),
           h('div', { class: 'edges-list' },
             props.result.edges.map((edge, i) => 
@@ -1683,8 +1688,8 @@ const QuickSearchDisplay = {
         // Nodes Tab
         activeTab.value === 'nodes' && hasNodes.value && h('div', { class: 'nodes-panel' }, [
           h('div', { class: 'panel-header' }, [
-            h('span', { class: 'panel-title' }, '相关节点'),
-            h('span', { class: 'panel-count' }, `共 ${props.result.nodes.length} 个`)
+            h('span', { class: 'panel-title' }, t('step4.panelRelatedNodes')),
+            h('span', { class: 'panel-count' }, t('step4.totalEntityCount', { count: props.result.nodes.length }))
           ]),
           h('div', { class: 'nodes-grid' },
             props.result.nodes.map((node, i) => 
@@ -5148,3 +5153,10 @@ watch(() => props.reportId, (newId) => {
 .log-msg.warning { color: #FFA726; }
 .log-msg.success { color: #66BB6A; }
 </style>
+
+<style>
+/* English locale: smaller report title */
+html[lang="en"] .report-header-block .main-title {
+  font-size: 28px;
+}
+</style>

frontend/src/components/Step5Interaction.vue

@@ -58,7 +58,7 @@
                       <path d="M12 2a10 10 0 0 1 10 10" stroke-width="4" stroke="#4B5563" stroke-linecap="round"></path>
                     </svg>
                   </div>
-                  <span class="loading-text">正在生成{{ section.title }}...</span>
+                  <span class="loading-text">{{ $t('step4.generatingSection', { title: section.title }) }}</span>
                 </div>
               </div>
             </div>
@@ -85,8 +85,8 @@
             <path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"></path>
           </svg>
           <div class="action-bar-text">
-            <span class="action-bar-title">Interactive Tools</span>
-            <span class="action-bar-subtitle mono">{{ profiles.length }} agents available</span>
+            <span class="action-bar-title">{{ $t('step5.interactiveTools') }}</span>
+            <span class="action-bar-subtitle mono">{{ $t('step5.agentsAvailable', { count: profiles.length }) }}</span>
           </div>
         </div>
           <div class="action-bar-tabs">
@@ -98,7 +98,7 @@
               <svg viewBox="0 0 24 24" width="14" height="14" fill="none" stroke="currentColor" stroke-width="2">
                 <path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"></path>
               </svg>
-              <span>与Report Agent对话</span>
+              <span>{{ $t('step5.chatWithReportAgent') }}</span>
             </button>
             <div class="agent-dropdown" v-if="profiles.length > 0">
               <button 
@@ -110,13 +110,13 @@
                   <path d="M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2"></path>
                   <circle cx="12" cy="7" r="4"></circle>
                 </svg>
-                <span>{{ selectedAgent ? selectedAgent.username : '与世界中任意个体对话' }}</span>
+                <span>{{ selectedAgent ? selectedAgent.username : $t('step5.chatWithAgent') }}</span>
                 <svg class="dropdown-arrow" :class="{ open: showAgentDropdown }" viewBox="0 0 24 24" width="12" height="12" fill="none" stroke="currentColor" stroke-width="2">
                   <polyline points="6 9 12 15 18 9"></polyline>
                 </svg>
               </button>
               <div v-if="showAgentDropdown" class="dropdown-menu">
-                <div class="dropdown-header">选择对话对象</div>
+                <div class="dropdown-header">{{ $t('step5.selectChatTarget') }}</div>
                 <div 
                   v-for="(agent, idx) in profiles" 
                   :key="idx"
@@ -126,13 +126,13 @@
                   <div class="agent-avatar">{{ (agent.username || 'A')[0] }}</div>
                   <div class="agent-info">
                     <span class="agent-name">{{ agent.username }}</span>
-                    <span class="agent-role">{{ agent.profession || '未知职业' }}</span>
+                    <span class="agent-role">{{ agent.profession || $t('step2.unknownProfession') }}</span>
                   </div>
                 </div>
               </div>
             </div>
             <div class="tab-divider"></div>
-            <button 
+            <button
               class="tab-pill survey-pill"
               :class="{ active: activeTab === 'survey' }"
               @click="selectSurveyTab"
@@ -141,7 +141,7 @@
                 <path d="M9 11l3 3L22 4"></path>
                 <path d="M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11"></path>
               </svg>
-              <span>发送问卷调查到世界中</span>
+              <span>{{ $t('step5.sendSurvey') }}</span>
             </button>
           </div>
         </div>
@@ -154,8 +154,8 @@
             <div class="tools-card-header">
               <div class="tools-card-avatar">R</div>
               <div class="tools-card-info">
-                <div class="tools-card-name">Report Agent - Chat</div>
-                <div class="tools-card-subtitle">报告生成智能体的快速对话版本，可调用 4 种专业工具，拥有MiroFish的完整记忆</div>
+                <div class="tools-card-name">{{ $t('step5.reportAgentChat') }}</div>
+                <div class="tools-card-subtitle">{{ $t('step5.reportAgentDesc') }}</div>
               </div>
               <button class="tools-card-toggle" @click="showToolsDetail = !showToolsDetail">
                 <svg :class="{ 'is-expanded': showToolsDetail }" viewBox="0 0 24 24" width="16" height="16" fill="none" stroke="currentColor" stroke-width="2">
@@ -172,8 +172,8 @@
                     </svg>
                   </div>
                   <div class="tool-content">
-                    <div class="tool-name">InsightForge 深度归因</div>
-                    <div class="tool-desc">对齐现实世界种子数据与模拟环境状态，结合Global/Local Memory机制，提供跨时空的深度归因分析</div>
+                    <div class="tool-name">{{ $t('step5.toolInsightForge') }}</div>
+                    <div class="tool-desc">{{ $t('step5.toolInsightForgeDesc') }}</div>
                   </div>
                 </div>
                 <div class="tool-item tool-blue">
@@ -184,8 +184,8 @@
                     </svg>
                   </div>
                   <div class="tool-content">
-                    <div class="tool-name">PanoramaSearch 全景追踪</div>
-                    <div class="tool-desc">基于图结构的广度遍历算法，重构事件传播路径，捕获全量信息流动的拓扑结构</div>
+                    <div class="tool-name">{{ $t('step5.toolPanoramaSearch') }}</div>
+                    <div class="tool-desc">{{ $t('step5.toolPanoramaSearchDesc') }}</div>
                   </div>
                 </div>
                 <div class="tool-item tool-orange">
@@ -195,8 +195,8 @@
                     </svg>
                   </div>
                   <div class="tool-content">
-                    <div class="tool-name">QuickSearch 快速检索</div>
-                    <div class="tool-desc">基于 GraphRAG 的即时查询接口，优化索引效率，用于快速提取具体的节点属性与离散事实</div>
+                    <div class="tool-name">{{ $t('step5.toolQuickSearch') }}</div>
+                    <div class="tool-desc">{{ $t('step5.toolQuickSearchDesc') }}</div>
                   </div>
                 </div>
                 <div class="tool-item tool-green">
@@ -208,8 +208,8 @@
                     </svg>
                   </div>
                   <div class="tool-content">
-                    <div class="tool-name">InterviewSubAgent 虚拟访谈</div>
-                    <div class="tool-desc">自主式访谈，能够并行与模拟世界中个体进行多轮对话，采集非结构化的观点数据与心理状态</div>
+                    <div class="tool-name">{{ $t('step5.toolInterviewSubAgent') }}</div>
+                    <div class="tool-desc">{{ $t('step5.toolInterviewSubAgentDesc') }}</div>
                   </div>
                 </div>
               </div>
@@ -224,7 +224,7 @@
                 <div class="profile-card-name">{{ selectedAgent.username }}</div>
                 <div class="profile-card-meta">
                   <span v-if="selectedAgent.name" class="profile-card-handle">@{{ selectedAgent.name }}</span>
-                  <span class="profile-card-profession">{{ selectedAgent.profession || '未知职业' }}</span>
+                  <span class="profile-card-profession">{{ selectedAgent.profession || $t('step2.unknownProfession') }}</span>
                 </div>
               </div>
               <button class="profile-card-toggle" @click="showFullProfile = !showFullProfile">
@@ -235,7 +235,7 @@
             </div>
             <div v-if="showFullProfile && selectedAgent.bio" class="profile-card-body">
               <div class="profile-card-bio">
-                <div class="profile-card-label">简介</div>
+                <div class="profile-card-label">{{ $t('step5.profileBio') }}</div>
                 <p>{{ selectedAgent.bio }}</p>
               </div>
             </div>
@@ -250,7 +250,7 @@
                 </svg>
               </div>
               <p class="empty-text">
-                {{ chatTarget === 'report_agent' ? '与 Report Agent 对话，深入了解报告内容' : '与模拟个体对话，了解他们的观点' }}
+                {{ chatTarget === 'report_agent' ? $t('step5.chatEmptyReportAgent') : $t('step5.chatEmptyAgent') }}
               </p>
             </div>
             <div 
@@ -292,7 +292,7 @@
             <textarea 
               v-model="chatInput"
               class="chat-input"
-              placeholder="输入您的问题..."
+              :placeholder="$t('step5.chatInputPlaceholder')"
               @keydown.enter.exact.prevent="sendMessage"
               :disabled="isSending || (!selectedAgent && chatTarget === 'agent')"
               rows="1"
@@ -317,8 +317,8 @@
           <div class="survey-setup">
             <div class="setup-section">
               <div class="section-header">
-                <span class="section-title">选择调查对象</span>
-                <span class="selection-count">已选 {{ selectedAgents.size }} / {{ profiles.length }}</span>
+                <span class="section-title">{{ $t('step5.selectSurveyTarget') }}</span>
+                <span class="selection-count">{{ $t('step5.selectedCount', { selected: selectedAgents.size, total: profiles.length }) }}</span>
               </div>
               <div class="agents-grid">
                 <label 
@@ -335,7 +335,7 @@
                   <div class="checkbox-avatar">{{ (agent.username || 'A')[0] }}</div>
                   <div class="checkbox-info">
                     <span class="checkbox-name">{{ agent.username }}</span>
-                    <span class="checkbox-role">{{ agent.profession || '未知职业' }}</span>
+                    <span class="checkbox-role">{{ agent.profession || $t('step2.unknownProfession') }}</span>
                   </div>
                   <div class="checkbox-indicator">
                     <svg viewBox="0 0 24 24" width="16" height="16" fill="none" stroke="currentColor" stroke-width="3">
@@ -345,20 +345,20 @@
                 </label>
               </div>
               <div class="selection-actions">
-                <button class="action-link" @click="selectAllAgents">全选</button>
+                <button class="action-link" @click="selectAllAgents">{{ $t('step5.selectAll') }}</button>
                 <span class="action-divider">|</span>
-                <button class="action-link" @click="clearAgentSelection">清空</button>
+                <button class="action-link" @click="clearAgentSelection">{{ $t('step5.clearSelection') }}</button>
               </div>
             </div>
 
             <div class="setup-section">
               <div class="section-header">
-                <span class="section-title">问卷问题</span>
+                <span class="section-title">{{ $t('step5.surveyQuestions') }}</span>
               </div>
               <textarea 
                 v-model="surveyQuestion"
                 class="survey-input"
-                placeholder="输入您想问所有被选中对象的问题..."
+                :placeholder="$t('step5.surveyInputPlaceholder')"
                 rows="3"
               ></textarea>
             </div>
@@ -369,15 +369,15 @@
               @click="submitSurvey"
             >
               <span v-if="isSurveying" class="loading-spinner"></span>
-              <span v-else>发送问卷</span>
+              <span v-else>{{ $t('step5.submitSurvey') }}</span>
             </button>
           </div>
 
           <!-- Survey Results -->
           <div v-if="surveyResults.length > 0" class="survey-results">
             <div class="results-header">
-              <span class="results-title">调查结果</span>
-              <span class="results-count">{{ surveyResults.length }} 条回复</span>
+              <span class="results-title">{{ $t('step5.surveyResults') }}</span>
+              <span class="results-count">{{ $t('step5.surveyResultsCount', { count: surveyResults.length }) }}</span>
             </div>
             <div class="results-list">
               <div 
@@ -389,7 +389,7 @@
                   <div class="result-avatar">{{ (result.agent_name || 'A')[0] }}</div>
                   <div class="result-info">
                     <span class="result-name">{{ result.agent_name }}</span>
-                    <span class="result-role">{{ result.profession || '未知职业' }}</span>
+                    <span class="result-role">{{ result.profession || $t('step2.unknownProfession') }}</span>
                   </div>
                 </div>
                 <div class="result-question">
@@ -412,9 +412,12 @@
 
 <script setup>
 import { ref, computed, watch, onMounted, onUnmounted, nextTick } from 'vue'
+import { useI18n } from 'vue-i18n'
 import { chatWithReport, getReport, getAgentLog } from '../api/report'
 import { interviewAgents, getSimulationProfilesRealtime } from '../api/simulation'
 
+const { t } = useI18n()
+
 const props = defineProps({
   reportId: String,
   simulationId: String
@@ -535,7 +538,7 @@ const selectAgent = (agent, idx) => {
   
   // 恢复该 Agent 的对话记录
   chatHistory.value = chatHistoryCache.value[`agent_${idx}`] || []
-  addLog(`选择对话对象: ${agent.username}`)
+  addLog(t('log.selectChatTarget', { name: agent.username }))
 }
 
 const formatTime = (timestamp) => {
@@ -662,10 +665,10 @@ const sendMessage = async () => {
       await sendToAgent(message)
     }
   } catch (err) {
-    addLog(`发送失败: ${err.message}`)
+    addLog(t('log.sendFailed', { error: err.message }))
     chatHistory.value.push({
       role: 'assistant',
-      content: `抱歉，发生了错误: ${err.message}`,
+      content: t('step5.errorOccurred', { error: err.message }),
       timestamp: new Date().toISOString()
     })
   } finally {
@@ -677,7 +680,7 @@ const sendMessage = async () => {
 }
 
 const sendToReportAgent = async (message) => {
-  addLog(`向 Report Agent 发送: ${message.substring(0, 50)}...`)
+  addLog(t('log.sendToReportAgent', { message: message.substring(0, 50) }))
   
   // Build chat history for API
   const historyForApi = chatHistory.value
@@ -697,21 +700,21 @@ const sendToReportAgent = async (message) => {
   if (res.success && res.data) {
     chatHistory.value.push({
       role: 'assistant',
-      content: res.data.response || res.data.answer || '无响应',
+      content: res.data.response || res.data.answer || t('step5.noResponse'),
       timestamp: new Date().toISOString()
     })
-    addLog('Report Agent 已回复')
+    addLog(t('log.reportAgentReplied'))
   } else {
-    throw new Error(res.error || '请求失败')
+    throw new Error(res.error || t('step5.requestFailed'))
   }
 }
 
 const sendToAgent = async (message) => {
   if (!selectedAgent.value || selectedAgentIndex.value === null) {
-    throw new Error('请先选择一个模拟个体')
+    throw new Error(t('step5.selectAgentFirst'))
   }
   
-  addLog(`向 ${selectedAgent.value.username} 发送: ${message.substring(0, 50)}...`)
+  addLog(t('log.sendToAgent', { name: selectedAgent.value.username, message: message.substring(0, 50) }))
   
   // Build prompt with chat history
   let prompt = message
@@ -761,12 +764,12 @@ const sendToAgent = async (message) => {
         content: responseContent,
         timestamp: new Date().toISOString()
       })
-      addLog(`${selectedAgent.value.username} 已回复`)
+      addLog(t('log.agentReplied', { name: selectedAgent.value.username }))
     } else {
-      throw new Error('无响应数据')
+      throw new Error(t('step5.noResponse'))
     }
   } else {
-    throw new Error(res.error || '请求失败')
+    throw new Error(res.error || t('step5.requestFailed'))
   }
 }
 
@@ -803,7 +806,7 @@ const submitSurvey = async () => {
   if (selectedAgents.value.size === 0 || !surveyQuestion.value.trim()) return
   
   isSurveying.value = true
-  addLog(`发送问卷给 ${selectedAgents.value.size} 个对象...`)
+  addLog(t('log.sendSurvey', { count: selectedAgents.value.size }))
   
   try {
     const interviews = Array.from(selectedAgents.value).map(idx => ({
@@ -830,20 +833,20 @@ const submitSurvey = async () => {
         const agent = profiles.value[agentIdx]
         
         // 优先使用 reddit 平台回复，其次 twitter
-        let responseContent = '无响应'
-        
+        let responseContent = t('step5.noResponse')
+
         if (typeof resultsDict === 'object' && !Array.isArray(resultsDict)) {
           const redditKey = `reddit_${agentIdx}`
           const twitterKey = `twitter_${agentIdx}`
           const agentResult = resultsDict[redditKey] || resultsDict[twitterKey]
           if (agentResult) {
-            responseContent = agentResult.response || agentResult.answer || '无响应'
+            responseContent = agentResult.response || agentResult.answer || t('step5.noResponse')
           }
         } else if (Array.isArray(resultsDict)) {
           // 兼容数组格式
           const matchedResult = resultsDict.find(r => r.agent_id === agentIdx)
           if (matchedResult) {
-            responseContent = matchedResult.response || matchedResult.answer || '无响应'
+            responseContent = matchedResult.response || matchedResult.answer || t('step5.noResponse')
           }
         }
         
@@ -857,12 +860,12 @@ const submitSurvey = async () => {
       }
       
       surveyResults.value = surveyResultsList
-      addLog(`收到 ${surveyResults.value.length} 条回复`)
+      addLog(t('log.receivedReplies', { count: surveyResults.value.length }))
     } else {
-      throw new Error(res.error || '请求失败')
+      throw new Error(res.error || t('step5.requestFailed'))
     }
   } catch (err) {
-    addLog(`问卷发送失败: ${err.message}`)
+    addLog(t('log.surveySendFailed', { error: err.message }))
   } finally {
     isSurveying.value = false
   }
@@ -873,7 +876,7 @@ const loadReportData = async () => {
   if (!props.reportId) return
   
   try {
-    addLog(`加载报告数据: ${props.reportId}`)
+    addLog(t('log.loadReportData', { id: props.reportId }))
     
     // Get report info
     const reportRes = await getReport(props.reportId)
@@ -882,7 +885,7 @@ const loadReportData = async () => {
       await loadAgentLogs()
     }
   } catch (err) {
-    addLog(`加载报告失败: ${err.message}`)
+    addLog(t('log.loadReportFailed', { error: err.message }))
   }
 }
 
@@ -904,10 +907,10 @@ const loadAgentLogs = async () => {
         }
       })
       
-      addLog('报告数据加载完成')
+      addLog(t('log.reportDataLoaded'))
     }
   } catch (err) {
-    addLog(`加载报告日志失败: ${err.message}`)
+    addLog(t('log.loadReportLogFailed', { error: err.message }))
   }
 }
 
@@ -918,10 +921,10 @@ const loadProfiles = async () => {
     const res = await getSimulationProfilesRealtime(props.simulationId, 'reddit')
     if (res.success && res.data) {
       profiles.value = res.data.profiles || []
-      addLog(`加载了 ${profiles.value.length} 个模拟个体`)
+      addLog(t('log.loadedProfiles', { count: profiles.value.length }))
     }
   } catch (err) {
-    addLog(`加载模拟个体失败: ${err.message}`)
+    addLog(t('log.loadProfilesFailed', { error: err.message }))
   }
 }
 
@@ -935,7 +938,7 @@ const handleClickOutside = (e) => {
 
 // Lifecycle
 onMounted(() => {
-  addLog('Step5 深度互动初始化')
+  addLog(t('log.step5Init'))
   loadReportData()
   loadProfiles()
   document.addEventListener('click', handleClickOutside)
@@ -2572,3 +2575,10 @@ watch(() => props.simulationId, (newId) => {
   margin: 24px 0;
 }
 </style>
+
+<style>
+/* English locale: smaller report title */
+html[lang="en"] .report-header-block .main-title {
+  font-size: 28px;
+}
+</style>

frontend/src/i18n/index.js

@@ -0,0 +1,27 @@
+import { createI18n } from 'vue-i18n'
+import languages from '../../../locales/languages.json'
+
+const localeFiles = import.meta.glob('../../../locales/!(languages).json', { eager: true })
+
+const messages = {}
+const availableLocales = []
+
+for (const path in localeFiles) {
+  const key = path.match(/\/([^/]+)\.json$/)[1]
+  if (languages[key]) {
+    messages[key] = localeFiles[path].default
+    availableLocales.push({ key, label: languages[key].label })
+  }
+}
+
+const savedLocale = localStorage.getItem('locale') || 'zh'
+
+const i18n = createI18n({
+  legacy: false,
+  locale: savedLocale,
+  fallbackLocale: 'zh',
+  messages
+})
+
+export { availableLocales }
+export default i18n

frontend/src/main.js

@@ -1,9 +1,11 @@
 import { createApp } from 'vue'
 import App from './App.vue'
 import router from './router'
+import i18n from './i18n'
 
 const app = createApp(App)
 
 app.use(router)
+app.use(i18n)
 
 app.mount('#app')

frontend/src/views/Home.vue

@@ -4,8 +4,9 @@
     <nav class="navbar">
       <div class="nav-brand">MIROFISH</div>
       <div class="nav-links">
+        <LanguageSwitcher />
         <a href="https://github.com/666ghj/MiroFish" target="_blank" class="github-link">
-          访问我们的Github主页 <span class="arrow">↗</span>
+          {{ $t('nav.visitGithub') }} <span class="arrow">↗</span>
         </a>
       </div>
     </nav>
@@ -15,21 +16,25 @@
       <section class="hero-section">
         <div class="hero-left">
           <div class="tag-row">
-            <span class="orange-tag">简洁通用的群体智能引擎</span>
-            <span class="version-text">/ v0.1-预览版</span>
+            <span class="orange-tag">{{ $t('home.tagline') }}</span>
+            <span class="version-text">{{ $t('home.version') }}</span>
           </div>
           
           <h1 class="main-title">
-            上传任意报告<br>
-            <span class="gradient-text">即刻推演未来</span>
+            {{ $t('home.heroTitle1') }}<br>
+            <span class="gradient-text">{{ $t('home.heroTitle2') }}</span>
           </h1>
           
           <div class="hero-desc">
             <p>
-              即使只有一段文字，<span class="highlight-bold">MiroFish</span> 也能基于其中的现实种子，全自动生成与之对应的至多<span class="highlight-orange">百万级Agent</span>构成的平行世界。通过上帝视角注入变量，在复杂的群体交互中寻找动态环境下的<span class="highlight-code">“局部最优解”</span>
+              <i18n-t keypath="home.heroDesc" tag="span">
+                <template #brand><span class="highlight-bold">{{ $t('home.heroDescBrand') }}</span></template>
+                <template #agentScale><span class="highlight-orange">{{ $t('home.heroDescAgentScale') }}</span></template>
+                <template #optimalSolution><span class="highlight-code">{{ $t('home.heroDescOptimalSolution') }}</span></template>
+              </i18n-t>
             </p>
             <p class="slogan-text">
-              让未来在 Agent 群中预演，让决策在百战后胜出<span class="blinking-cursor">_</span>
+              {{ $t('home.slogan') }}<span class="blinking-cursor">_</span>
             </p>
           </div>
            
@@ -53,65 +58,65 @@
         <!-- 左栏：状态与步骤 -->
         <div class="left-panel">
           <div class="panel-header">
-            <span class="status-dot">■</span> 系统状态
+            <span class="status-dot">■</span> {{ $t('home.systemStatus') }}
           </div>
           
-          <h2 class="section-title">准备就绪</h2>
+          <h2 class="section-title">{{ $t('home.systemReady') }}</h2>
           <p class="section-desc">
-            预测引擎待命中，可上传多份非结构化数据以初始化模拟序列
+            {{ $t('home.systemReadyDesc') }}
           </p>
           
           <!-- 数据指标卡片 -->
           <div class="metrics-row">
             <div class="metric-card">
-              <div class="metric-value">低成本</div>
-              <div class="metric-label">常规模拟平均5$/次</div>
+              <div class="metric-value">{{ $t('home.metricLowCost') }}</div>
+              <div class="metric-label">{{ $t('home.metricLowCostDesc') }}</div>
             </div>
             <div class="metric-card">
-              <div class="metric-value">高可用</div>
-              <div class="metric-label">最多百万级Agent模拟</div>
+              <div class="metric-value">{{ $t('home.metricHighAvail') }}</div>
+              <div class="metric-label">{{ $t('home.metricHighAvailDesc') }}</div>
             </div>
           </div>
 
           <!-- 项目模拟步骤介绍 (新增区域) -->
           <div class="steps-container">
             <div class="steps-header">
-               <span class="diamond-icon">◇</span> 工作流序列
+               <span class="diamond-icon">◇</span> {{ $t('home.workflowSequence') }}
             </div>
             <div class="workflow-list">
               <div class="workflow-item">
                 <span class="step-num">01</span>
                 <div class="step-info">
-                  <div class="step-title">图谱构建</div>
-                  <div class="step-desc">现实种子提取 & 个体与群体记忆注入 & GraphRAG构建</div>
+                  <div class="step-title">{{ $t('home.step01Title') }}</div>
+                  <div class="step-desc">{{ $t('home.step01Desc') }}</div>
                 </div>
               </div>
               <div class="workflow-item">
                 <span class="step-num">02</span>
                 <div class="step-info">
-                  <div class="step-title">环境搭建</div>
-                  <div class="step-desc">实体关系抽取 & 人设生成 & 环境配置Agent注入仿真参数</div>
+                  <div class="step-title">{{ $t('home.step02Title') }}</div>
+                  <div class="step-desc">{{ $t('home.step02Desc') }}</div>
                 </div>
               </div>
               <div class="workflow-item">
                 <span class="step-num">03</span>
                 <div class="step-info">
-                  <div class="step-title">开始模拟</div>
-                  <div class="step-desc">双平台并行模拟 & 自动解析预测需求 & 动态更新时序记忆</div>
+                  <div class="step-title">{{ $t('home.step03Title') }}</div>
+                  <div class="step-desc">{{ $t('home.step03Desc') }}</div>
                 </div>
               </div>
               <div class="workflow-item">
                 <span class="step-num">04</span>
                 <div class="step-info">
-                  <div class="step-title">报告生成</div>
-                  <div class="step-desc">ReportAgent拥有丰富的工具集与模拟后环境进行深度交互</div>
+                  <div class="step-title">{{ $t('home.step04Title') }}</div>
+                  <div class="step-desc">{{ $t('home.step04Desc') }}</div>
                 </div>
               </div>
               <div class="workflow-item">
                 <span class="step-num">05</span>
                 <div class="step-info">
-                  <div class="step-title">深度互动</div>
-                  <div class="step-desc">与模拟世界中的任意一位进行对话 & 与ReportAgent进行对话</div>
+                  <div class="step-title">{{ $t('home.step05Title') }}</div>
+                  <div class="step-desc">{{ $t('home.step05Desc') }}</div>
                 </div>
               </div>
             </div>
@@ -124,8 +129,8 @@
             <!-- 上传区域 -->
             <div class="console-section">
               <div class="console-header">
-                <span class="console-label">01 / 现实种子</span>
-                <span class="console-meta">支持格式: PDF, MD, TXT</span>
+                <span class="console-label">{{ $t('home.realitySeed') }}</span>
+                <span class="console-meta">{{ $t('home.supportedFormats') }}</span>
               </div>
               
               <div 
@@ -148,8 +153,8 @@
                 
                 <div v-if="files.length === 0" class="upload-placeholder">
                   <div class="upload-icon">↑</div>
-                  <div class="upload-title">拖拽文件上传</div>
-                  <div class="upload-hint">或点击浏览文件系统</div>
+                  <div class="upload-title">{{ $t('home.dragToUpload') }}</div>
+                  <div class="upload-hint">{{ $t('home.orBrowse') }}</div>
                 </div>
                 
                 <div v-else class="file-list">
@@ -164,23 +169,23 @@
 
             <!-- 分割线 -->
             <div class="console-divider">
-              <span>输入参数</span>
+              <span>{{ $t('home.inputParams') }}</span>
             </div>
 
             <!-- 输入区域 -->
             <div class="console-section">
               <div class="console-header">
-                <span class="console-label">>_ 02 / 模拟提示词</span>
+                <span class="console-label">{{ $t('home.simulationPrompt') }}</span>
               </div>
               <div class="input-wrapper">
                 <textarea
                   v-model="formData.simulationRequirement"
                   class="code-input"
-                  placeholder="// 用自然语言输入模拟或预测需求（例.武大若发布撤销肖某处分的公告，会引发什么舆情走向）"
+                  :placeholder="$t('home.promptPlaceholder')"
                   rows="6"
                   :disabled="loading"
                 ></textarea>
-                <div class="model-badge">引擎: MiroFish-V1.0</div>
+                <div class="model-badge">{{ $t('home.engineBadge') }}</div>
               </div>
             </div>
 
@@ -191,8 +196,8 @@
                 @click="startSimulation"
                 :disabled="!canSubmit || loading"
               >
-                <span v-if="!loading">启动引擎</span>
-                <span v-else>初始化中...</span>
+                <span v-if="!loading">{{ $t('home.startEngine') }}</span>
+                <span v-else>{{ $t('home.initializing') }}</span>
                 <span class="btn-arrow">→</span>
               </button>
             </div>
@@ -210,6 +215,7 @@
 import { ref, computed } from 'vue'
 import { useRouter } from 'vue-router'
 import HistoryDatabase from '../components/HistoryDatabase.vue'
+import LanguageSwitcher from '../components/LanguageSwitcher.vue'
 
 const router = useRouter()
 
@@ -351,6 +357,7 @@ const startSimulation = () => {
 .nav-links {
   display: flex;
   align-items: center;
+  gap: 16px;
 }
 
 .github-link {
@@ -888,3 +895,59 @@ const startSimulation = () => {
   }
 }
 </style>
+
+<style>
+/* English locale adjustments (unscoped to target html[lang]) */
+html[lang="en"] .main-title {
+  font-size: 3.5rem;
+  font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+  letter-spacing: -1px;
+}
+
+html[lang="en"] .hero-desc {
+  text-align: left;
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+  letter-spacing: 0;
+}
+
+html[lang="en"] .slogan-text {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+  letter-spacing: 0;
+}
+
+html[lang="en"] .tag-row {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+}
+
+html[lang="en"] .navbar .nav-links {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+}
+
+/* Left pane: system status + workflow */
+html[lang="en"] .status-section {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+}
+
+html[lang="en"] .status-section .status-ready {
+  font-size: 1.6rem;
+}
+
+html[lang="en"] .status-section .metric-value {
+  font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+  font-size: 1.4rem;
+}
+
+html[lang="en"] .workflow-list .step-title {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+}
+
+html[lang="en"] .workflow-list .step-desc {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif !important;
+  font-size: 0.72rem !important;
+  line-height: 1.4 !important;
+}
+
+html[lang="en"] .workflow-list {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+}
+</style>

frontend/src/views/InteractionView.vue

@@ -15,15 +15,17 @@
             :class="{ active: viewMode === mode }"
             @click="viewMode = mode"
           >
-            {{ { graph: '图谱', split: '双栏', workbench: '工作台' }[mode] }}
+            {{ { graph: $t('main.layoutGraph'), split: $t('main.layoutSplit'), workbench: $t('main.layoutWorkbench') }[mode] }}
           </button>
         </div>
       </div>
 
       <div class="header-right">
+        <LanguageSwitcher />
+        <div class="step-divider"></div>
         <div class="workflow-step">
           <span class="step-num">Step 5/5</span>
-          <span class="step-name">深度互动</span>
+          <span class="step-name">{{ $tm('main.stepNames')[4] }}</span>
         </div>
         <div class="step-divider"></div>
         <span class="status-indicator" :class="statusClass">
@@ -64,14 +66,17 @@
 <script setup>
 import { ref, computed, onMounted, watch } from 'vue'
 import { useRoute, useRouter } from 'vue-router'
+import { useI18n } from 'vue-i18n'
 import GraphPanel from '../components/GraphPanel.vue'
 import Step5Interaction from '../components/Step5Interaction.vue'
 import { getProject, getGraphData } from '../api/graph'
 import { getSimulation } from '../api/simulation'
 import { getReport } from '../api/report'
+import LanguageSwitcher from '../components/LanguageSwitcher.vue'
 
 const route = useRoute()
 const router = useRouter()
+const { t } = useI18n()
 
 // Props
 const props = defineProps({
@@ -140,27 +145,27 @@ const toggleMaximize = (target) => {
 // --- Data Logic ---
 const loadReportData = async () => {
   try {
-    addLog(`加载报告数据: ${currentReportId.value}`)
-    
+    addLog(t('log.loadReportData', { id: currentReportId.value }))
+
     // 获取 report 信息以获取 simulation_id
     const reportRes = await getReport(currentReportId.value)
     if (reportRes.success && reportRes.data) {
       const reportData = reportRes.data
       simulationId.value = reportData.simulation_id
-      
+
       if (simulationId.value) {
         // 获取 simulation 信息
         const simRes = await getSimulation(simulationId.value)
         if (simRes.success && simRes.data) {
           const simData = simRes.data
-          
+
           // 获取 project 信息
           if (simData.project_id) {
             const projRes = await getProject(simData.project_id)
             if (projRes.success && projRes.data) {
               projectData.value = projRes.data
-              addLog(`项目加载成功: ${projRes.data.project_id}`)
-              
+              addLog(t('log.projectLoadSuccess', { id: projRes.data.project_id }))
+
               // 获取 graph 数据
               if (projRes.data.graph_id) {
                 await loadGraph(projRes.data.graph_id)
@@ -170,10 +175,10 @@ const loadReportData = async () => {
         }
       }
     } else {
-      addLog(`获取报告信息失败: ${reportRes.error || '未知错误'}`)
+      addLog(t('log.getReportInfoFailed', { error: reportRes.error || t('common.unknownError') }))
     }
   } catch (err) {
-    addLog(`加载异常: ${err.message}`)
+    addLog(t('log.loadException', { error: err.message }))
   }
 }
 
@@ -184,10 +189,10 @@ const loadGraph = async (graphId) => {
     const res = await getGraphData(graphId)
     if (res.success) {
       graphData.value = res.data
-      addLog('图谱数据加载成功')
+      addLog(t('log.graphDataLoadSuccess'))
     }
   } catch (err) {
-    addLog(`图谱加载失败: ${err.message}`)
+    addLog(t('log.graphLoadFailed', { error: err.message }))
   } finally {
     graphLoading.value = false
   }
@@ -208,7 +213,7 @@ watch(() => route.params.reportId, (newId) => {
 }, { immediate: true })
 
 onMounted(() => {
-  addLog('InteractionView 初始化')
+  addLog(t('log.interactionViewInit'))
   loadReportData()
 })
 </script>

frontend/src/views/MainView.vue

@@ -15,15 +15,17 @@
             :class="{ active: viewMode === mode }"
             @click="viewMode = mode"
           >
-            {{ { graph: '图谱', split: '双栏', workbench: '工作台' }[mode] }}
+            {{ { graph: $t('main.layoutGraph'), split: $t('main.layoutSplit'), workbench: $t('main.layoutWorkbench') }[mode] }}
           </button>
         </div>
       </div>
 
       <div class="header-right">
+        <LanguageSwitcher />
+        <div class="step-divider"></div>
         <div class="workflow-step">
           <span class="step-num">Step {{ currentStep }}/5</span>
-          <span class="step-name">{{ stepNames[currentStep - 1] }}</span>
+          <span class="step-name">{{ $tm('main.stepNames')[currentStep - 1] }}</span>
         </div>
         <div class="step-divider"></div>
         <span class="status-indicator" :class="statusClass">
@@ -77,21 +79,24 @@
 <script setup>
 import { ref, computed, onMounted, onUnmounted, nextTick } from 'vue'
 import { useRoute, useRouter } from 'vue-router'
+import { useI18n } from 'vue-i18n'
 import GraphPanel from '../components/GraphPanel.vue'
 import Step1GraphBuild from '../components/Step1GraphBuild.vue'
 import Step2EnvSetup from '../components/Step2EnvSetup.vue'
 import { generateOntology, getProject, buildGraph, getTaskStatus, getGraphData } from '../api/graph'
 import { getPendingUpload, clearPendingUpload } from '../store/pendingUpload'
+import LanguageSwitcher from '../components/LanguageSwitcher.vue'
 
 const route = useRoute()
 const router = useRouter()
+const { t, tm } = useI18n()
 
 // Layout State
 const viewMode = ref('split') // graph | split | workbench
 
 // Step State
 const currentStep = ref(1) // 1: 图谱构建, 2: 环境搭建, 3: 开始模拟, 4: 报告生成, 5: 深度互动
-const stepNames = ['图谱构建', '环境搭建', '开始模拟', '报告生成', '深度互动']
+const stepNames = computed(() => tm('main.stepNames'))
 
 // Data State
 const currentProjectId = ref(route.params.projectId)
@@ -159,11 +164,11 @@ const toggleMaximize = (target) => {
 const handleNextStep = (params = {}) => {
   if (currentStep.value < 5) {
     currentStep.value++
-    addLog(`进入 Step ${currentStep.value}: ${stepNames[currentStep.value - 1]}`)
+    addLog(t('log.enterStep', { step: currentStep.value, name: stepNames.value[currentStep.value - 1] }))
     
     // 如果是从 Step 2 进入 Step 3，记录模拟轮数配置
     if (currentStep.value === 3 && params.maxRounds) {
-      addLog(`自定义模拟轮数: ${params.maxRounds} 轮`)
+      addLog(t('log.customSimRounds', { rounds: params.maxRounds }))
     }
   }
 }
@@ -171,7 +176,7 @@ const handleNextStep = (params = {}) => {
 const handleGoBack = () => {
   if (currentStep.value > 1) {
     currentStep.value--
-    addLog(`返回 Step ${currentStep.value}: ${stepNames[currentStep.value - 1]}`)
+    addLog(t('log.returnToStep', { step: currentStep.value, name: stepNames.value[currentStep.value - 1] }))
   }
 }
 

frontend/src/views/ReportView.vue

@@ -15,15 +15,17 @@
             :class="{ active: viewMode === mode }"
             @click="viewMode = mode"
           >
-            {{ { graph: '图谱', split: '双栏', workbench: '工作台' }[mode] }}
+            {{ { graph: $t('main.layoutGraph'), split: $t('main.layoutSplit'), workbench: $t('main.layoutWorkbench') }[mode] }}
           </button>
         </div>
       </div>
 
       <div class="header-right">
+        <LanguageSwitcher />
+        <div class="step-divider"></div>
         <div class="workflow-step">
           <span class="step-num">Step 4/5</span>
-          <span class="step-name">报告生成</span>
+          <span class="step-name">{{ $tm('main.stepNames')[3] }}</span>
         </div>
         <div class="step-divider"></div>
         <span class="status-indicator" :class="statusClass">
@@ -64,14 +66,17 @@
 <script setup>
 import { ref, computed, onMounted, watch } from 'vue'
 import { useRoute, useRouter } from 'vue-router'
+import { useI18n } from 'vue-i18n'
 import GraphPanel from '../components/GraphPanel.vue'
 import Step4Report from '../components/Step4Report.vue'
 import { getProject, getGraphData } from '../api/graph'
 import { getSimulation } from '../api/simulation'
 import { getReport } from '../api/report'
+import LanguageSwitcher from '../components/LanguageSwitcher.vue'
 
 const route = useRoute()
 const router = useRouter()
+const { t } = useI18n()
 
 // Props
 const props = defineProps({
@@ -139,27 +144,27 @@ const toggleMaximize = (target) => {
 // --- Data Logic ---
 const loadReportData = async () => {
   try {
-    addLog(`加载报告数据: ${currentReportId.value}`)
-    
+    addLog(t('log.loadReportData', { id: currentReportId.value }))
+
     // 获取 report 信息以获取 simulation_id
     const reportRes = await getReport(currentReportId.value)
     if (reportRes.success && reportRes.data) {
       const reportData = reportRes.data
       simulationId.value = reportData.simulation_id
-      
+
       if (simulationId.value) {
         // 获取 simulation 信息
         const simRes = await getSimulation(simulationId.value)
         if (simRes.success && simRes.data) {
           const simData = simRes.data
-          
+
           // 获取 project 信息
           if (simData.project_id) {
             const projRes = await getProject(simData.project_id)
             if (projRes.success && projRes.data) {
               projectData.value = projRes.data
-              addLog(`项目加载成功: ${projRes.data.project_id}`)
-              
+              addLog(t('log.projectLoadSuccess', { id: projRes.data.project_id }))
+
               // 获取 graph 数据
               if (projRes.data.graph_id) {
                 await loadGraph(projRes.data.graph_id)
@@ -169,10 +174,10 @@ const loadReportData = async () => {
         }
       }
     } else {
-      addLog(`获取报告信息失败: ${reportRes.error || '未知错误'}`)
+      addLog(t('log.getReportInfoFailed', { error: reportRes.error || t('common.unknownError') }))
     }
   } catch (err) {
-    addLog(`加载异常: ${err.message}`)
+    addLog(t('log.loadException', { error: err.message }))
   }
 }
 
@@ -183,10 +188,10 @@ const loadGraph = async (graphId) => {
     const res = await getGraphData(graphId)
     if (res.success) {
       graphData.value = res.data
-      addLog('图谱数据加载成功')
+      addLog(t('log.graphDataLoadSuccess'))
     }
   } catch (err) {
-    addLog(`图谱加载失败: ${err.message}`)
+    addLog(t('log.graphLoadFailed', { error: err.message }))
   } finally {
     graphLoading.value = false
   }
@@ -207,7 +212,7 @@ watch(() => route.params.reportId, (newId) => {
 }, { immediate: true })
 
 onMounted(() => {
-  addLog('ReportView 初始化')
+  addLog(t('log.reportViewInit'))
   loadReportData()
 })
 </script>

frontend/src/views/SimulationRunView.vue

@@ -15,15 +15,17 @@
             :class="{ active: viewMode === mode }"
             @click="viewMode = mode"
           >
-            {{ { graph: '图谱', split: '双栏', workbench: '工作台' }[mode] }}
+            {{ { graph: $t('main.layoutGraph'), split: $t('main.layoutSplit'), workbench: $t('main.layoutWorkbench') }[mode] }}
           </button>
         </div>
       </div>
 
       <div class="header-right">
+        <LanguageSwitcher />
+        <div class="step-divider"></div>
         <div class="workflow-step">
           <span class="step-num">Step 3/5</span>
-          <span class="step-name">开始模拟</span>
+          <span class="step-name">{{ $tm('main.stepNames')[2] }}</span>
         </div>
         <div class="step-divider"></div>
         <span class="status-indicator" :class="statusClass">
@@ -73,7 +75,10 @@ import GraphPanel from '../components/GraphPanel.vue'
 import Step3Simulation from '../components/Step3Simulation.vue'
 import { getProject, getGraphData } from '../api/graph'
 import { getSimulation, getSimulationConfig, stopSimulation, closeSimulationEnv, getEnvStatus } from '../api/simulation'
+import LanguageSwitcher from '../components/LanguageSwitcher.vue'
+import { useI18n } from 'vue-i18n'
 
+const { t } = useI18n()
 const route = useRoute()
 const router = useRouter()
 
@@ -146,7 +151,7 @@ const toggleMaximize = (target) => {
 
 const handleGoBack = async () => {
   // 在返回 Step 2 之前，先关闭正在运行的模拟
-  addLog('准备返回 Step 2，正在关闭模拟...')
+  addLog(t('log.preparingGoBack'))
   
   // 停止轮询
   stopGraphRefresh()
@@ -156,36 +161,36 @@ const handleGoBack = async () => {
     const envStatusRes = await getEnvStatus({ simulation_id: currentSimulationId.value })
     
     if (envStatusRes.success && envStatusRes.data?.env_alive) {
-      addLog('正在关闭模拟环境...')
+      addLog(t('log.closingSimEnv'))
       try {
         await closeSimulationEnv({ 
           simulation_id: currentSimulationId.value,
           timeout: 10
         })
-        addLog('✓ 模拟环境已关闭')
+        addLog(t('log.simEnvClosed'))
       } catch (closeErr) {
-        addLog(`关闭模拟环境失败，尝试强制停止...`)
+        addLog(t('log.closeSimEnvFailed'))
         try {
           await stopSimulation({ simulation_id: currentSimulationId.value })
-          addLog('✓ 模拟已强制停止')
+          addLog(t('log.simForceStopSuccess'))
         } catch (stopErr) {
-          addLog(`强制停止失败: ${stopErr.message}`)
+          addLog(t('log.forceStopFailed', { error: stopErr.message }))
         }
       }
     } else {
       // 环境未运行，检查是否需要停止进程
       if (isSimulating.value) {
-        addLog('正在停止模拟进程...')
+        addLog(t('log.stoppingSimProcess'))
         try {
           await stopSimulation({ simulation_id: currentSimulationId.value })
-          addLog('✓ 模拟已停止')
+          addLog(t('log.simStopped'))
         } catch (err) {
-          addLog(`停止模拟失败: ${err.message}`)
+          addLog(t('log.stopSimFailed', { error: err.message }))
         }
       }
     }
   } catch (err) {
-    addLog(`检查模拟状态失败: ${err.message}`)
+    addLog(t('log.checkStatusFailed', { error: err.message }))
   }
   
   // 返回到 Step 2 (环境搭建)
@@ -195,13 +200,13 @@ const handleGoBack = async () => {
 const handleNextStep = () => {
   // Step3Simulation 组件会直接处理报告生成和路由跳转
   // 这个方法仅作为备用
-  addLog('进入 Step 4: 报告生成')
+  addLog(t('log.enterStep4'))
 }
 
 // --- Data Logic ---
 const loadSimulationData = async () => {
   try {
-    addLog(`加载模拟数据: ${currentSimulationId.value}`)
+    addLog(t('log.loadingSimData', { id: currentSimulationId.value }))
     
     // 获取 simulation 信息
     const simRes = await getSimulation(currentSimulationId.value)
@@ -213,10 +218,10 @@ const loadSimulationData = async () => {
         const configRes = await getSimulationConfig(currentSimulationId.value)
         if (configRes.success && configRes.data?.time_config?.minutes_per_round) {
           minutesPerRound.value = configRes.data.time_config.minutes_per_round
-          addLog(`时间配置: 每轮 ${minutesPerRound.value} 分钟`)
+          addLog(t('log.timeConfig', { minutes: minutesPerRound.value }))
         }
       } catch (configErr) {
-        addLog(`获取时间配置失败，使用默认值: ${minutesPerRound.value}分钟/轮`)
+        addLog(t('log.timeConfigFetchFailed', { minutes: minutesPerRound.value }))
       }
       
       // 获取 project 信息
@@ -224,7 +229,7 @@ const loadSimulationData = async () => {
         const projRes = await getProject(simData.project_id)
         if (projRes.success && projRes.data) {
           projectData.value = projRes.data
-          addLog(`项目加载成功: ${projRes.data.project_id}`)
+          addLog(t('log.projectLoadSuccess', { id: projRes.data.project_id }))
           
           // 获取 graph 数据
           if (projRes.data.graph_id) {
@@ -233,10 +238,10 @@ const loadSimulationData = async () => {
         }
       }
     } else {
-      addLog(`加载模拟数据失败: ${simRes.error || '未知错误'}`)
+      addLog(t('log.loadSimDataFailed', { error: simRes.error || t('common.unknownError') }))
     }
   } catch (err) {
-    addLog(`加载异常: ${err.message}`)
+    addLog(t('log.loadException', { error: err.message }))
   }
 }
 
@@ -252,11 +257,11 @@ const loadGraph = async (graphId) => {
     if (res.success) {
       graphData.value = res.data
       if (!isSimulating.value) {
-        addLog('图谱数据加载成功')
+        addLog(t('log.graphDataLoadSuccess'))
       }
     }
   } catch (err) {
-    addLog(`图谱加载失败: ${err.message}`)
+    addLog(t('log.graphLoadFailed', { error: err.message }))
   } finally {
     graphLoading.value = false
   }
@@ -273,7 +278,7 @@ let graphRefreshTimer = null
 
 const startGraphRefresh = () => {
   if (graphRefreshTimer) return
-  addLog('开启图谱实时刷新 (30s)')
+  addLog(t('log.graphRealtimeRefreshStart'))
   // 立即刷新一次，然后每30秒刷新
   graphRefreshTimer = setInterval(refreshGraph, 30000)
 }
@@ -282,7 +287,7 @@ const stopGraphRefresh = () => {
   if (graphRefreshTimer) {
     clearInterval(graphRefreshTimer)
     graphRefreshTimer = null
-    addLog('停止图谱实时刷新')
+    addLog(t('log.graphRealtimeRefreshStop'))
   }
 }
 
@@ -295,11 +300,11 @@ watch(isSimulating, (newValue) => {
 }, { immediate: true })
 
 onMounted(() => {
-  addLog('SimulationRunView 初始化')
+  addLog(t('log.simRunViewInit'))
   
   // 记录 maxRounds 配置（值已在初始化时从 query 参数获取）
   if (maxRounds.value) {
-    addLog(`自定义模拟轮数: ${maxRounds.value}`)
+    addLog(t('log.customRounds', { rounds: maxRounds.value }))
   }
   
   loadSimulationData()

frontend/src/views/SimulationView.vue

@@ -15,15 +15,17 @@
             :class="{ active: viewMode === mode }"
             @click="viewMode = mode"
           >
-            {{ { graph: '图谱', split: '双栏', workbench: '工作台' }[mode] }}
+            {{ { graph: $t('main.layoutGraph'), split: $t('main.layoutSplit'), workbench: $t('main.layoutWorkbench') }[mode] }}
           </button>
         </div>
       </div>
 
       <div class="header-right">
+        <LanguageSwitcher />
+        <div class="step-divider"></div>
         <div class="workflow-step">
           <span class="step-num">Step 2/5</span>
-          <span class="step-name">环境搭建</span>
+          <span class="step-name">{{ $tm('main.stepNames')[1] }}</span>
         </div>
         <div class="step-divider"></div>
         <span class="status-indicator" :class="statusClass">
@@ -70,7 +72,10 @@ import GraphPanel from '../components/GraphPanel.vue'
 import Step2EnvSetup from '../components/Step2EnvSetup.vue'
 import { getProject, getGraphData } from '../api/graph'
 import { getSimulation, stopSimulation, getEnvStatus, closeSimulationEnv } from '../api/simulation'
+import LanguageSwitcher from '../components/LanguageSwitcher.vue'
+import { useI18n } from 'vue-i18n'
 
+const { t } = useI18n()
 const route = useRoute()
 const router = useRouter()
 
@@ -146,13 +151,13 @@ const handleGoBack = () => {
 }
 
 const handleNextStep = (params = {}) => {
-  addLog('进入 Step 3: 开始模拟')
-  
+  addLog(t('log.enterStep3'))
+
   // 记录模拟轮数配置
   if (params.maxRounds) {
-    addLog(`自定义模拟轮数: ${params.maxRounds} 轮`)
+    addLog(t('log.customRoundsConfig', { rounds: params.maxRounds }))
   } else {
-    addLog('使用自动配置的模拟轮数')
+    addLog(t('log.useAutoRounds'))
   }
   
   // 构建路由参数
@@ -184,7 +189,7 @@ const checkAndStopRunningSimulation = async () => {
     const envStatusRes = await getEnvStatus({ simulation_id: currentSimulationId.value })
     
     if (envStatusRes.success && envStatusRes.data?.env_alive) {
-      addLog('检测到模拟环境正在运行，正在关闭...')
+      addLog(t('log.detectedSimEnvRunning'))
       
       // 尝试优雅关闭模拟环境
       try {
@@ -194,14 +199,14 @@ const checkAndStopRunningSimulation = async () => {
         })
         
         if (closeRes.success) {
-          addLog('✓ 模拟环境已关闭')
+          addLog(t('log.simEnvClosed'))
         } else {
-          addLog(`关闭模拟环境失败: ${closeRes.error || '未知错误'}`)
+          addLog(t('log.closeSimEnvFailedWithError', { error: closeRes.error || t('common.unknownError') }))
           // 如果优雅关闭失败，尝试强制停止
           await forceStopSimulation()
         }
       } catch (closeErr) {
-        addLog(`关闭模拟环境异常: ${closeErr.message}`)
+        addLog(t('log.closeSimEnvException', { error: closeErr.message }))
         // 如果优雅关闭异常，尝试强制停止
         await forceStopSimulation()
       }
@@ -209,7 +214,7 @@ const checkAndStopRunningSimulation = async () => {
       // 环境未运行，但可能进程还在，检查模拟状态
       const simRes = await getSimulation(currentSimulationId.value)
       if (simRes.success && simRes.data?.status === 'running') {
-        addLog('检测到模拟状态为运行中，正在停止...')
+        addLog(t('log.detectedSimRunning'))
         await forceStopSimulation()
       }
     }
@@ -226,30 +231,30 @@ const forceStopSimulation = async () => {
   try {
     const stopRes = await stopSimulation({ simulation_id: currentSimulationId.value })
     if (stopRes.success) {
-      addLog('✓ 模拟已强制停止')
+      addLog(t('log.simForceStopSuccess'))
     } else {
-      addLog(`强制停止模拟失败: ${stopRes.error || '未知错误'}`)
+      addLog(t('log.forceStopSimFailed', { error: stopRes.error || t('common.unknownError') }))
     }
   } catch (err) {
-    addLog(`强制停止模拟异常: ${err.message}`)
+    addLog(t('log.forceStopSimException', { error: err.message }))
   }
 }
 
 const loadSimulationData = async () => {
   try {
-    addLog(`加载模拟数据: ${currentSimulationId.value}`)
-    
+    addLog(t('log.loadingSimData', { id: currentSimulationId.value }))
+
     // 获取 simulation 信息
     const simRes = await getSimulation(currentSimulationId.value)
     if (simRes.success && simRes.data) {
       const simData = simRes.data
-      
+
       // 获取 project 信息
       if (simData.project_id) {
         const projRes = await getProject(simData.project_id)
         if (projRes.success && projRes.data) {
           projectData.value = projRes.data
-          addLog(`项目加载成功: ${projRes.data.project_id}`)
+          addLog(t('log.projectLoadSuccess', { id: projRes.data.project_id }))
           
           // 获取 graph 数据
           if (projRes.data.graph_id) {
@@ -258,10 +263,10 @@ const loadSimulationData = async () => {
         }
       }
     } else {
-      addLog(`加载模拟数据失败: ${simRes.error || '未知错误'}`)
+      addLog(t('log.loadSimDataFailed', { error: simRes.error || t('common.unknownError') }))
     }
   } catch (err) {
-    addLog(`加载异常: ${err.message}`)
+    addLog(t('log.loadException', { error: err.message }))
   }
 }
 
@@ -271,10 +276,10 @@ const loadGraph = async (graphId) => {
     const res = await getGraphData(graphId)
     if (res.success) {
       graphData.value = res.data
-      addLog('图谱数据加载成功')
+      addLog(t('log.graphDataLoadSuccess'))
     }
   } catch (err) {
-    addLog(`图谱加载失败: ${err.message}`)
+    addLog(t('log.graphLoadFailed', { error: err.message }))
   } finally {
     graphLoading.value = false
   }
@@ -287,7 +292,7 @@ const refreshGraph = () => {
 }
 
 onMounted(async () => {
-  addLog('SimulationView 初始化')
+  addLog(t('log.simViewInit'))
   
   // 检查并关闭正在运行的模拟（用户从 Step 3 返回时）
   await checkAndStopRunningSimulation()

frontend/vite.config.js

@@ -1,9 +1,16 @@
 import { defineConfig } from 'vite'
 import vue from '@vitejs/plugin-vue'
+import path from 'path'
 
 // https://vite.dev/config/
 export default defineConfig({
   plugins: [vue()],
+  resolve: {
+    alias: {
+      '@': path.resolve(__dirname, 'src'),
+      '@locales': path.resolve(__dirname, '../locales')
+    }
+  },
   server: {
     port: 3000,
     open: true,

locales/en.json

@@ -0,0 +1,665 @@
+{
+  "common": {
+    "confirm": "Confirm",
+    "cancel": "Cancel",
+    "loading": "Loading...",
+    "error": "Error",
+    "success": "Success",
+    "completed": "Completed",
+    "processing": "Generating",
+    "pending": "Pending",
+    "ready": "Ready",
+    "running": "Running",
+    "failed": "Failed",
+    "unknown": "Unknown",
+    "unknownError": "Unknown error",
+    "none": "None",
+    "close": "Close",
+    "back": "Back",
+    "next": "Next",
+    "retry": "Retry",
+    "noData": "No data available",
+    "hours": "hours",
+    "minutes": "minutes",
+    "rounds": "rounds",
+    "items": "items",
+    "files": "files"
+  },
+  "meta": {
+    "title": "MiroFish - Predict Everything",
+    "description": "MiroFish - Social Media Opinion Simulation System"
+  },
+  "nav": {
+    "visitGithub": "Visit our Github page"
+  },
+  "home": {
+    "tagline": "Concise & Universal Swarm Intelligence Engine",
+    "version": "/ v0.1-Preview",
+    "heroTitle1": "Upload Reports,",
+    "heroTitle2": "Predict the Future",
+    "heroDesc": "From a single document, {brand} extracts reality seeds to auto-generate a parallel world with up to {agentScale}. Inject variables from a god's-eye view to find the {optimalSolution} in complex group dynamics.",
+    "heroDescBrand": "MiroFish",
+    "heroDescAgentScale": "million-scale Agents",
+    "heroDescOptimalSolution": "\"local optimum\"",
+    "slogan": "Let Agents rehearse the future, let decisions prevail",
+    "systemStatus": "System Status",
+    "systemReady": "Ready",
+    "systemReadyDesc": "Prediction engine on standby. Upload unstructured data to initialize a simulation sequence.",
+    "metricLowCost": "Low Cost",
+    "metricLowCostDesc": "Avg. $5/sim",
+    "metricHighAvail": "Scalable",
+    "metricHighAvailDesc": "Millions of Agents",
+    "workflowSequence": "Workflow",
+    "step01Title": "Graph Build",
+    "step01Desc": "Seed extraction & memory injection & GraphRAG construction",
+    "step02Title": "Env Setup",
+    "step02Desc": "Entity extraction & persona generation & Agent config injection",
+    "step03Title": "Simulation",
+    "step03Desc": "Dual-platform parallel sim & auto-parse requirements & temporal memory",
+    "step04Title": "Report",
+    "step04Desc": "ReportAgent interacts with the post-simulation environment via rich tools",
+    "step05Title": "Interaction",
+    "step05Desc": "Chat with any simulated individual & converse with ReportAgent",
+    "realitySeed": "01 / Reality Seed",
+    "supportedFormats": "Formats: PDF, MD, TXT",
+    "dragToUpload": "Drag files to upload",
+    "orBrowse": "or click to browse files",
+    "inputParams": "Input Parameters",
+    "simulationPrompt": ">_ 02 / Simulation Prompt",
+    "promptPlaceholder": "// Describe your simulation or prediction requirement in natural language",
+    "engineBadge": "Engine: MiroFish-V1.0",
+    "startEngine": "Start Engine",
+    "initializing": "Initializing..."
+  },
+  "main": {
+    "layoutGraph": "Graph",
+    "layoutSplit": "Split",
+    "layoutWorkbench": "Workbench",
+    "stepNames": ["Graph Build", "Env Setup", "Run Simulation", "Report Generation", "Deep Interaction"]
+  },
+  "step1": {
+    "ontologyGeneration": "Ontology Generation",
+    "ontologyCompleted": "Completed",
+    "ontologyGenerating": "Generating",
+    "ontologyPending": "Pending",
+    "ontologyDesc": "LLM analyzes document content and simulation requirements, extracts reality seeds, and auto-generates a suitable ontology structure",
+    "analyzingDocs": "Analyzing documents...",
+    "graphRagBuild": "GraphRAG Build",
+    "graphRagDesc": "Based on the generated ontology, documents are auto-chunked and sent to Zep to build a knowledge graph, extracting entities and relations, forming temporal memory and community summaries",
+    "entityNodes": "Entity Nodes",
+    "relationEdges": "Relation Edges",
+    "schemaTypes": "Schema Types",
+    "buildComplete": "Build Complete",
+    "buildCompleteDesc": "Graph build is complete. Proceed to the next step for simulation environment setup.",
+    "inProgress": "In Progress",
+    "creating": "Creating...",
+    "enterEnvSetup": "Enter Environment Setup",
+    "createSimulationFailed": "Failed to create simulation: {error}",
+    "createSimulationException": "Simulation creation error: {error}"
+  },
+  "step2": {
+    "simInstanceInit": "Simulation Instance Initialization",
+    "simInstanceDesc": "Create a new simulation instance and pull world parameter templates",
+    "asyncTaskDone": "Async task completed",
+    "generateAgentPersona": "Generate Agent Personas",
+    "generateAgentPersonaDesc": "Combine context to auto-extract entities and relations from the knowledge graph, initialize simulated individuals, and assign unique behaviors and memories based on reality seeds",
+    "currentAgentCount": "Current Agents",
+    "expectedAgentTotal": "Expected Total Agents",
+    "relatedTopicsCount": "Reality Seed Related Topics",
+    "generatedAgentPersonas": "Generated Agent Personas",
+    "unknownProfession": "Unknown profession",
+    "noBio": "No bio available",
+    "dualPlatformConfig": "Generate Dual-Platform Config",
+    "dualPlatformConfigDesc": "LLM intelligently sets world time flow, recommendation algorithms, each individual's active hours, posting frequency, event triggers, and more based on requirements and reality seeds",
+    "simulationDuration": "Simulation Duration",
+    "roundDuration": "Round Duration",
+    "totalRounds": "Total Rounds",
+    "activePerHour": "Active Per Hour",
+    "peakHours": "Peak Hours",
+    "workHours": "Work Hours",
+    "morningHours": "Morning Hours",
+    "offPeakHours": "Off-Peak Hours",
+    "agentConfig": "Agent Config",
+    "activeTimePeriod": "Active Hours",
+    "postsPerHour": "Posts/hr",
+    "commentsPerHour": "Comments/hr",
+    "responseDelay": "Response Delay",
+    "activityLevel": "Activity Level",
+    "sentimentBias": "Sentiment Bias",
+    "influenceWeight": "Influence",
+    "recommendAlgoConfig": "Recommendation Algorithm Config",
+    "platform1Name": "Platform 1: Plaza / Feed",
+    "platform2Name": "Platform 2: Topic / Community",
+    "recencyWeight": "Recency Weight",
+    "popularityWeight": "Popularity Weight",
+    "relevanceWeight": "Relevance Weight",
+    "viralThreshold": "Viral Threshold",
+    "echoChamberStrength": "Echo Chamber Strength",
+    "llmConfigReasoning": "LLM Config Reasoning",
+    "initialActivation": "Initial Activation Orchestration",
+    "initialActivationDesc": "Auto-generate initial activation events and hot topics based on narrative direction to guide the simulation world's initial state",
+    "orchestrating": "Orchestrating",
+    "narrativeDirection": "Narrative Direction",
+    "initialHotTopics": "Initial Hot Topics",
+    "initialActivationSeq": "Initial Activation Sequence ({count})",
+    "setupComplete": "Setup Complete",
+    "setupCompleteDesc": "Simulation environment is ready. You can now start the simulation.",
+    "roundsConfig": "Simulation Rounds Configuration",
+    "roundsConfigDesc": "MiroFish auto-plans to simulate {hours} real-world hours, each round representing {minutesPerRound} minutes of elapsed time",
+    "customToggle": "Custom",
+    "roundsUnit": "rounds",
+    "estimatedDuration": "For 100 Agents: est. ~{minutes} minutes",
+    "estimatedDurationFull": "For 100 Agents: est. {minutes} minutes",
+    "recommendedRounds": "{rounds} (recommended)",
+    "customTip": "For first-time runs, we strongly recommend switching to 'Custom Mode' to reduce rounds for a quick preview and lower error risk",
+    "backToGraphBuild": "Back to Graph Build",
+    "startDualWorldSim": "Start Dual-World Parallel Simulation",
+    "profileModalAge": "Apparent Age",
+    "profileModalGender": "Apparent Gender",
+    "profileModalCountry": "Country/Region",
+    "profileModalMbti": "Apparent MBTI",
+    "profileModalBio": "Persona Bio",
+    "profileModalTopics": "Reality Seed Related Topics",
+    "profileModalPersona": "Detailed Persona Background",
+    "personaDimExperience": "Full Event Experience",
+    "personaDimExperienceDesc": "Complete behavioral trajectory in this event",
+    "personaDimBehavior": "Behavioral Profile",
+    "personaDimBehaviorDesc": "Experience summary and behavioral preferences",
+    "personaDimMemory": "Unique Memory Imprint",
+    "personaDimMemoryDesc": "Memories formed from reality seeds",
+    "personaDimSocial": "Social Network",
+    "personaDimSocialDesc": "Individual connections and interaction graph",
+    "genderMale": "Male",
+    "genderFemale": "Female",
+    "genderOther": "Other",
+    "yearsOld": "years old",
+    "initializing": "Initializing",
+    "generating": "Generating"
+  },
+  "step3": {
+    "startGenerateReport": "Generate Report",
+    "generatingReport": "Starting...",
+    "waitingForActions": "Waiting for agent actions...",
+    "errorMissingSimId": "Error: missing simulationId",
+    "startingDualSim": "Starting dual-platform parallel simulation...",
+    "graphMemoryUpdateEnabled": "Dynamic graph memory update enabled",
+    "setMaxRounds": "Max simulation rounds set to: {rounds}",
+    "oldSimCleared": "Old simulation logs cleared, restarting simulation",
+    "engineStarted": "Simulation engine started successfully",
+    "startFailed": "Start failed: {error}",
+    "startException": "Start error: {error}",
+    "stoppingSim": "Stopping simulation...",
+    "simStopped": "Simulation stopped",
+    "stopFailed": "Stop failed: {error}",
+    "stopException": "Stop error: {error}",
+    "allPlatformsCompleted": "All platform simulations have ended",
+    "simCompleted": "Simulation completed",
+    "graphRealtimeRefresh": "Graph real-time refresh enabled (30s)",
+    "graphRefreshStopped": "Graph real-time refresh stopped",
+    "preparingGoBack": "Preparing to return to Step 2, closing simulation...",
+    "closingSimEnv": "Closing simulation environment...",
+    "simEnvClosed": "Simulation environment closed",
+    "closeFailed": "Failed to close simulation environment, attempting force stop...",
+    "stoppingProcess": "Stopping simulation process...",
+    "checkStatusFailed": "Failed to check simulation status: {error}",
+    "forceStopSuccess": "Simulation force stopped",
+    "forceStopFailed": "Force stop failed: {error}",
+    "startGenerateReportBtn": "Generate Report",
+    "generatingReportBtn": "Starting..."
+  },
+  "step4": {
+    "generatingSection": "Generating {title}...",
+    "goToInteraction": "Enter Deep Interaction",
+    "waitingForReportAgent": "Waiting for Report Agent...",
+    "collapse": "Collapse ▲",
+    "expandAll": "Show all {count} ▼",
+    "expandAllEntities": "Show all {count} ▼",
+    "scenarioLabel": "Scenario: ",
+    "tabKeyFacts": "Key Facts ({count})",
+    "tabCoreEntities": "Core Entities ({count})",
+    "tabRelationChains": "Relation Chains ({count})",
+    "tabSubQueries": "Sub-queries ({count})",
+    "panelKeyFacts": "Latest key facts from temporal memory",
+    "totalCount": "{count} total",
+    "totalEntityCount": "{count} total",
+    "panelCoreEntities": "Core Entities",
+    "factCount": "{count} facts",
+    "panelRelationChains": "Relation Chains",
+    "panelSubQueries": "Drift query analysis sub-questions",
+    "emptyKeyFacts": "No key facts available",
+    "emptyCoreEntities": "No core entities available",
+    "emptyRelationChains": "No relation chains available",
+    "tabActiveFacts": "Active Facts ({count})",
+    "tabHistoricalFacts": "Historical Facts ({count})",
+    "tabEntities": "Entities ({count})",
+    "panelActiveFacts": "Active Facts",
+    "emptyActiveFacts": "No active facts available",
+    "panelHistoricalFacts": "Historical Facts",
+    "emptyHistoricalFacts": "No historical facts available",
+    "panelEntities": "Entities",
+    "emptyEntities": "No entities available",
+    "searchLabel": "Search: ",
+    "tabFacts": "Facts ({count})",
+    "tabEdges": "Edges ({count})",
+    "tabNodes": "Nodes ({count})",
+    "panelSearchResults": "Search Results",
+    "emptySearchResults": "No results found",
+    "panelRelatedEdges": "Related Edges",
+    "panelRelatedNodes": "Related Nodes",
+    "world1": "World 1",
+    "world2": "World 2"
+  },
+  "step5": {
+    "interactiveTools": "Interactive Tools",
+    "agentsAvailable": "{count} agents available",
+    "chatWithReportAgent": "Chat with Report Agent",
+    "chatWithAgent": "Chat with any individual in the world",
+    "selectChatTarget": "Select chat target",
+    "sendSurvey": "Send survey to the world",
+    "reportAgentChat": "Report Agent - Chat",
+    "reportAgentDesc": "A conversational version of the report generation agent with access to 4 professional tools and MiroFish's complete memory",
+    "toolInsightForge": "InsightForge Deep Attribution",
+    "toolInsightForgeDesc": "Aligns real-world seed data with simulation state, combining Global/Local Memory for cross-temporal deep attribution analysis",
+    "toolPanoramaSearch": "PanoramaSearch Full Tracking",
+    "toolPanoramaSearchDesc": "Graph-based BFS algorithm that reconstructs event propagation paths, capturing the full topology of information flow",
+    "toolQuickSearch": "QuickSearch Fast Retrieval",
+    "toolQuickSearchDesc": "GraphRAG-based instant query interface with optimized indexing for fast extraction of node attributes and discrete facts",
+    "toolInterviewSubAgent": "InterviewSubAgent Virtual Interview",
+    "toolInterviewSubAgentDesc": "Autonomous interviews that conduct parallel multi-round dialogues with simulated individuals, collecting unstructured opinion data and psychological states",
+    "profileBio": "Bio",
+    "chatEmptyReportAgent": "Chat with Report Agent to explore report content in depth",
+    "chatEmptyAgent": "Chat with simulated individuals to understand their perspectives",
+    "chatInputPlaceholder": "Type your question...",
+    "selectSurveyTarget": "Select survey targets",
+    "selectedCount": "Selected {selected} / {total}",
+    "surveyQuestions": "Survey Questions",
+    "surveyInputPlaceholder": "Enter the question you want to ask all selected targets...",
+    "submitSurvey": "Send Survey",
+    "surveyResults": "Survey Results",
+    "surveyResultsCount": "{count} responses",
+    "selectAll": "Select All",
+    "clearSelection": "Clear",
+    "errorOccurred": "Sorry, an error occurred: {error}",
+    "noResponse": "No response",
+    "requestFailed": "Request failed",
+    "selectAgentFirst": "Please select a simulated individual first"
+  },
+  "graph": {
+    "panelTitle": "Graph Relationship Visualization",
+    "refreshGraph": "Refresh Graph",
+    "graphMemoryRealtime": "GraphRAG short/long-term memory updating in real-time",
+    "realtimeUpdating": "Updating in real-time...",
+    "pendingContentHint": "Some content is still processing. Consider refreshing the graph manually later.",
+    "nodeDetails": "Node Details",
+    "relationship": "Relationship",
+    "graphDataLoading": "Loading graph data...",
+    "waitingOntology": "Waiting for ontology generation...",
+    "toggleMaximize": "Maximize/Restore",
+    "closeHint": "Close hint"
+  },
+  "history": {
+    "title": "Simulation History",
+    "graphBuild": "Graph Build",
+    "envSetup": "Env Setup",
+    "analysisReport": "Analysis Report",
+    "moreFiles": "+{count} files",
+    "noFiles": "No files",
+    "loadingText": "Loading...",
+    "simRequirement": "Simulation Requirement",
+    "relatedFiles": "Related Files",
+    "noRelatedFiles": "No related files",
+    "replayTitle": "Simulation Replay",
+    "step1Button": "Graph Build",
+    "step2Button": "Env Setup",
+    "step4Button": "Analysis Report",
+    "replayHint": "Step 3 'Run Simulation' and Step 5 'Deep Interaction' must be started during runtime and do not support history replay",
+    "notStarted": "Not started",
+    "roundsProgress": "{current}/{total} rounds",
+    "untitledSimulation": "Untitled simulation",
+    "unknownFile": "Unknown file"
+  },
+  "api": {
+    "projectNotFound": "Project not found: {id}",
+    "projectDeleteFailed": "Project not found or deletion failed: {id}",
+    "projectDeleted": "Project deleted: {id}",
+    "projectReset": "Project reset: {id}",
+    "requireSimulationRequirement": "Please provide a simulation requirement (simulation_requirement)",
+    "requireFileUpload": "Please upload at least one document file",
+    "noDocProcessed": "No documents were processed successfully. Please check file formats.",
+    "requireProjectId": "Please provide project_id",
+    "configError": "Configuration error: {details}",
+    "zepApiKeyMissing": "ZEP_API_KEY not configured",
+    "ontologyNotGenerated": "Ontology not yet generated. Please call /ontology/generate first.",
+    "graphBuilding": "Graph build in progress. Do not resubmit. To force rebuild, add force: true.",
+    "textNotFound": "Extracted text content not found",
+    "ontologyNotFound": "Ontology definition not found",
+    "graphBuildStarted": "Graph build task started. Query progress via /task/{taskId}.",
+    "graphBuildComplete": "Graph build complete",
+    "buildFailed": "Build failed: {error}",
+    "taskNotFound": "Task not found: {id}",
+    "graphDeleted": "Graph deleted: {id}",
+    "entityNotFound": "Entity not found: {id}",
+    "graphNotBuilt": "Graph not yet built. Please call /api/graph/build first.",
+    "requireSimulationId": "Please provide simulation_id",
+    "simulationNotFound": "Simulation not found: {id}",
+    "projectMissingRequirement": "Project missing simulation requirement (simulation_requirement)",
+    "prepareStarted": "Preparation task started. Query progress via /api/simulation/prepare/status.",
+    "alreadyPrepared": "Preparation already complete. No need to regenerate.",
+    "notStartedPrepare": "Preparation not started. Please call /api/simulation/prepare.",
+    "taskCompletedPrepared": "Task completed (preparation already exists)",
+    "requireTaskOrSimId": "Please provide task_id or simulation_id",
+    "configNotFound": "Simulation config not found. Please call /prepare first.",
+    "configFileNotFound": "Config file not found. Please call /prepare first.",
+    "unknownScript": "Unknown script: {name}. Available: {allowed}",
+    "scriptFileNotFound": "Script file not found: {name}",
+    "requireGraphId": "Please provide graph_id",
+    "noMatchingEntities": "No matching entities found",
+    "maxRoundsPositive": "max_rounds must be a positive integer",
+    "maxRoundsInvalid": "max_rounds must be a valid integer",
+    "invalidPlatform": "Invalid platform type: {platform}. Options: twitter/reddit/parallel",
+    "simRunningForceHint": "Simulation is running. Stop it first via /stop, or use force=true to restart.",
+    "simNotReady": "Simulation not ready. Current status: {status}. Please call /prepare first.",
+    "graphIdRequiredForMemory": "Graph memory update requires a valid graph_id. Ensure the graph is built.",
+    "dbNotExist": "Database does not exist. The simulation may not have run yet.",
+    "requireMessage": "Please provide a message",
+    "missingGraphId": "Missing graph ID",
+    "missingGraphIdEnsure": "Missing graph ID. Please ensure the graph has been built.",
+    "missingSimRequirement": "Missing simulation requirement description",
+    "reportAlreadyExists": "Report already exists",
+    "reportGenerateStarted": "Report generation task started. Query progress via /api/report/generate/status.",
+    "reportGenerated": "Report generated",
+    "reportNotFound": "Report not found: {id}",
+    "noReportForSim": "No report found for this simulation: {id}",
+    "reportDeleted": "Report deleted: {id}",
+    "reportGenerateFailed": "Report generation failed",
+    "sectionNotFound": "Section not found: section_{index}.md",
+    "reportProgressNotAvail": "Report not found or progress unavailable: {id}",
+    "requireAgentId": "Please provide agent_id",
+    "requirePrompt": "Please provide a prompt (interview question)",
+    "invalidInterviewPlatform": "Platform must be either 'twitter' or 'reddit'",
+    "envNotRunning": "Simulation environment not running or closed. Ensure simulation is complete and in command-wait mode.",
+    "interviewTimeout": "Interview response timed out: {error}",
+    "requireInterviews": "Please provide interviews (interview list)",
+    "interviewListMissingAgentId": "Interview list item {index} missing agent_id",
+    "interviewListMissingPrompt": "Interview list item {index} missing prompt",
+    "interviewListInvalidPlatform": "Interview list item {index} platform must be 'twitter' or 'reddit'",
+    "batchInterviewTimeout": "Batch interview response timed out: {error}",
+    "globalInterviewTimeout": "Global interview response timed out: {error}",
+    "envRunning": "Environment is running and ready for Interview commands",
+    "envNotRunningShort": "Environment not running or closed",
+    "requireGraphIdAndQuery": "Please provide graph_id and query",
+    "initReportAgent": "Initializing Report Agent..."
+  },
+  "progress": {
+    "initGraphService": "Initializing graph build service...",
+    "textChunking": "Chunking text...",
+    "creatingZepGraph": "Creating Zep graph...",
+    "settingOntology": "Setting ontology definition...",
+    "addingChunks": "Adding {count} text chunks...",
+    "waitingZepProcess": "Waiting for Zep to process data...",
+    "fetchingGraphData": "Fetching graph data...",
+    "graphBuildComplete": "Graph build complete",
+    "buildFailed": "Build failed: {error}",
+    "startBuildingGraph": "Starting graph build...",
+    "graphCreated": "Graph created: {graphId}",
+    "ontologySet": "Ontology set",
+    "textSplit": "Text split into {count} chunks",
+    "fetchingGraphInfo": "Fetching graph info...",
+    "sendingBatch": "Sending batch {current}/{total} ({chunks} chunks)...",
+    "batchFailed": "Batch {batch} failed: {error}",
+    "noEpisodesWait": "No episodes to wait for",
+    "waitingEpisodes": "Waiting for {count} text chunks to process...",
+    "episodesTimeout": "Some chunks timed out, {completed}/{total} completed",
+    "zepProcessing": "Zep processing... {completed}/{total} done, {pending} pending ({elapsed}s)",
+    "processingComplete": "Processing complete: {completed}/{total}",
+    "taskComplete": "Task complete",
+    "taskFailed": "Task failed",
+    "startPreparingEnv": "Preparing simulation environment...",
+    "connectingZepGraph": "Connecting to Zep graph...",
+    "readingNodeData": "Reading node data...",
+    "readingComplete": "Done, {count} entities found",
+    "startGenerating": "Starting generation...",
+    "analyzingRequirements": "Analyzing simulation requirements...",
+    "generatingOutline": "Generating report outline...",
+    "parsingOutline": "Parsing outline structure...",
+    "outlinePlanComplete": "Outline planning complete",
+    "deepSearchAndWrite": "Deep search & writing ({current}/{max})",
+    "initReport": "Initializing report...",
+    "startPlanningOutline": "Planning report outline...",
+    "outlineDone": "Outline complete, {count} sections",
+    "generatingSection": "Generating section: {title} ({current}/{total})",
+    "sectionDone": "Section {title} complete",
+    "assemblingReport": "Assembling full report...",
+    "reportComplete": "Report generation complete",
+    "reportFailed": "Report generation failed: {error}",
+    "savingProfiles": "Saving profile files...",
+    "profilesComplete": "Done, {count} profiles generated",
+    "callingLLMConfig": "Calling LLM to generate config...",
+    "savingConfigFiles": "Saving config files...",
+    "configComplete": "Config generation complete",
+    "generatingTimeConfig": "Generating time config...",
+    "generatingEventConfig": "Generating event config and hot topics...",
+    "generatingAgentConfig": "Generating agent config ({start}-{end}/{total})...",
+    "generatingPlatformConfig": "Generating platform config...",
+    "zepSearchQuery": "All information, activities, events, relationships and background about {name}",
+    "timeConfigLabel": "Time Config",
+    "eventConfigLabel": "Event Config",
+    "agentConfigResult": "Agent Config: {count} generated",
+    "postAssignResult": "Post Assignment: {count} posts assigned",
+    "profileGenerated": "[Generated] {name} ({type})",
+    "readingGraphEntities": "Reading Graph Entities",
+    "generatingProfiles": "Generating Agent Profiles",
+    "generatingSimConfig": "Generating Simulation Config",
+    "preparingScripts": "Preparing Scripts"
+  },
+  "log": {
+    "preparingGoBack": "Preparing to return to Step 2, closing simulation...",
+    "closingSimEnv": "Closing simulation environment...",
+    "simEnvClosed": "✓ Simulation environment closed",
+    "closeSimEnvFailed": "Failed to close simulation environment, attempting force stop...",
+    "simForceStopSuccess": "✓ Simulation force stopped",
+    "forceStopFailed": "Force stop failed: {error}",
+    "stoppingSimProcess": "Stopping simulation process...",
+    "simStopped": "✓ Simulation stopped",
+    "stopSimFailed": "Failed to stop simulation: {error}",
+    "checkStatusFailed": "Failed to check simulation status: {error}",
+    "enterStep4": "Entering Step 4: Report Generation",
+    "loadingSimData": "Loading simulation data: {id}",
+    "timeConfig": "Time config: {minutes} minutes per round",
+    "timeConfigFetchFailed": "Failed to fetch time config, using default: {minutes} min/round",
+    "projectLoadSuccess": "Project loaded: {id}",
+    "loadSimDataFailed": "Failed to load simulation data: {error}",
+    "loadException": "Load error: {error}",
+    "graphDataLoadSuccess": "Graph data loaded successfully",
+    "graphLoadFailed": "Graph load failed: {error}",
+    "graphRealtimeRefreshStart": "Graph real-time refresh enabled (30s)",
+    "graphRealtimeRefreshStop": "Graph real-time refresh stopped",
+    "simRunViewInit": "SimulationRunView initialized",
+    "customRounds": "Custom simulation rounds: {rounds}",
+    "enterStep3": "Entering Step 3: Run Simulation",
+    "customRoundsConfig": "Custom simulation rounds: {rounds} rounds",
+    "useAutoRounds": "Using auto-configured simulation rounds",
+    "detectedSimEnvRunning": "Detected running simulation environment, closing...",
+    "closeSimEnvFailedWithError": "Failed to close simulation environment: {error}",
+    "closeSimEnvException": "Simulation environment close error: {error}",
+    "detectedSimRunning": "Detected simulation is running, stopping...",
+    "forceStopSimFailed": "Force stop simulation failed: {error}",
+    "forceStopSimException": "Force stop simulation error: {error}",
+    "simViewInit": "SimulationView initialized",
+    "errorMissingSimId": "Error: missing simulationId",
+    "simInstanceCreated": "Simulation instance created: {id}",
+    "preparingSimEnv": "Preparing simulation environment...",
+    "detectedExistingPrep": "Detected existing preparation, using it directly",
+    "prepareTaskStarted": "Preparation task started",
+    "prepareTaskId": "  └─ Task ID: {taskId}",
+    "zepEntitiesFound": "Found {count} entities from Zep graph",
+    "entityTypes": "  └─ Entity types: {types}",
+    "startPollingProgress": "Polling preparation progress...",
+    "prepareFailed": "Preparation failed: {error}",
+    "prepareException": "Preparation error: {error}",
+    "prepareComplete": "✓ Preparation complete",
+    "prepareFailedWithError": "✗ Preparation failed: {error}",
+    "startGeneratingConfig": "Generating dual-platform simulation config...",
+    "generatingAgentProfileConfig": "Generating agent persona config...",
+    "generatingLLMConfig": "Calling LLM to generate simulation config parameters...",
+    "configComplete": "✓ Simulation config generated",
+    "configSummaryAgents": "  ├─ Agents: {count}",
+    "configSummaryHours": "  ├─ Duration: {hours} hours",
+    "configSummaryPosts": "  ├─ Initial posts: {count}",
+    "configSummaryTopics": "  ├─ Hot topics: {count}",
+    "configSummaryPlatforms": "  └─ Platforms: Twitter {twitter}, Reddit {reddit}",
+    "timeConfigDetail": "Time config: {minutes} min/round, {rounds} rounds total",
+    "narrativeDirection": "Narrative direction: {direction}",
+    "envSetupComplete": "✓ Environment setup complete, ready to simulate",
+    "startSimCustomRounds": "Starting simulation, custom rounds: {rounds}",
+    "startSimAutoRounds": "Starting simulation, auto-configured rounds: {rounds}",
+    "startGeneratingAgentProfiles": "Generating agent personas...",
+    "agentProfile": "→ Agent persona {current}/{total}: {name} ({profession})",
+    "allProfilesComplete": "✓ All {count} agent personas generated",
+    "loadingExistingConfig": "Loading existing config data...",
+    "loadedAgentProfiles": "Loaded {count} agent personas",
+    "configLoadSuccess": "✓ Simulation config loaded",
+    "configSummaryPostsAlt": "  └─ Initial posts: {count}",
+    "configGenerating": "Config generating, polling...",
+    "loadConfigFailed": "Failed to load config: {error}",
+    "step2Init": "Step 2 environment setup initialized",
+    "step3Init": "Step 3 simulation run initialized",
+    "startingDualSim": "Starting dual-platform parallel simulation...",
+    "setMaxRounds": "Max simulation rounds set to: {rounds}",
+    "graphMemoryUpdateEnabled": "Dynamic graph memory update enabled",
+    "oldSimCleared": "✓ Old simulation logs cleared, restarting simulation",
+    "engineStarted": "✓ Simulation engine started successfully",
+    "startFailed": "✗ Start failed: {error}",
+    "startException": "✗ Start error: {error}",
+    "stoppingSim": "Stopping simulation...",
+    "simStoppedSuccess": "✓ Simulation stopped",
+    "stopFailed": "Stop failed: {error}",
+    "stopException": "Stop error: {error}",
+    "allPlatformsCompleted": "✓ All platform simulations have ended",
+    "simCompleted": "✓ Simulation completed",
+    "reportRequestSent": "Report generation request sent, please wait...",
+    "startingReportGen": "Starting report generation...",
+    "reportGenTaskStarted": "✓ Report generation task started: {reportId}",
+    "reportGenFailed": "✗ Failed to start report generation: {error}",
+    "reportGenException": "✗ Report generation error: {error}",
+    "step5Init": "Step 5 deep interaction initialized",
+    "selectChatTarget": "Selected chat target: {name}",
+    "sendFailed": "Send failed: {error}",
+    "sendToReportAgent": "Sent to Report Agent: {message}...",
+    "reportAgentReplied": "Report Agent replied",
+    "sendToAgent": "Sent to {name}: {message}...",
+    "agentReplied": "{name} replied",
+    "sendSurvey": "Sending survey to {count} targets...",
+    "receivedReplies": "Received {count} replies",
+    "surveySendFailed": "Survey send failed: {error}",
+    "loadReportData": "Loading report data: {id}",
+    "loadReportFailed": "Failed to load report: {error}",
+    "reportDataLoaded": "Report data loaded",
+    "loadReportLogFailed": "Failed to load report logs: {error}",
+    "loadedProfiles": "Loaded {count} simulated individuals",
+    "loadProfilesFailed": "Failed to load simulated individuals: {error}",
+    "interactionViewInit": "InteractionView initialized",
+    "reportViewInit": "ReportView initialized",
+    "getReportInfoFailed": "Failed to get report info: {error}",
+    "enterStep": "Entering Step {step}: {name}",
+    "returnToStep": "Returning to Step {step}: {name}",
+    "customSimRounds": "Custom simulation rounds: {rounds} rounds"
+  },
+  "report": {
+    "taskStarted": "Report generation task started",
+    "planningStart": "Starting report outline planning",
+    "fetchSimContext": "Fetching simulation context",
+    "planningComplete": "Outline planning complete",
+    "sectionStart": "Starting section generation: {title}",
+    "reactThought": "ReACT round {iteration} thinking",
+    "toolCall": "Calling tool: {toolName}",
+    "toolResult": "Tool {toolName} returned result",
+    "llmResponse": "LLM response (tool calls: {hasToolCalls}, final answer: {hasFinalAnswer})",
+    "sectionContentDone": "Section {title} content generation complete",
+    "sectionComplete": "Section {title} generation complete",
+    "reportComplete": "Report generation complete",
+    "errorOccurred": "Error occurred: {error}",
+    "agentInitDone": "ReportAgent initialized: graph_id={graphId}, simulation_id={simulationId}",
+    "executingTool": "Executing tool: {toolName}, params: {params}",
+    "toolExecFailed": "Tool execution failed: {toolName}, error: {error}",
+    "startPlanningOutline": "Starting report outline planning...",
+    "outlinePlanDone": "Outline planning complete: {count} sections",
+    "outlinePlanFailed": "Outline planning failed: {error}",
+    "reactGenerateSection": "ReACT generating section: {title}",
+    "sectionIterNone": "Section {title} iteration {iteration}: LLM returned None",
+    "sectionConflict": "Section {title} round {iteration}: LLM output both tool call and Final Answer (conflict #{conflictCount})",
+    "sectionConflictDowngrade": "Section {title}: {conflictCount} consecutive conflicts, downgrading to truncate and execute first tool call",
+    "sectionGenDone": "Section {title} generation complete (tool calls: {count})",
+    "multiToolOnlyFirst": "LLM attempted {total} tool calls, executing only the first: {toolName}",
+    "sectionNoPrefix": "Section {title} missing 'Final Answer:' prefix, adopting LLM output as final content (tool calls: {count})",
+    "sectionMaxIter": "Section {title} reached max iterations, forcing generation",
+    "sectionForceFailed": "Section {title} force-finish LLM returned None, using default error message",
+    "sectionGenFailedContent": "(This section failed to generate: LLM returned empty response, please retry later)",
+    "outlineSavedToFile": "Outline saved to file: {reportId}/outline.json",
+    "sectionSaved": "Section saved: {reportId}/section_{sectionNum}.md",
+    "reportGenDone": "Report generation complete: {reportId}",
+    "reportGenFailed": "Report generation failed: {error}",
+    "agentChat": "Report Agent chat: {message}...",
+    "fetchReportFailed": "Failed to fetch report content: {error}",
+    "outlineSaved": "Outline saved: {reportId}",
+    "sectionFileSaved": "Section saved: {reportId}/{fileSuffix}",
+    "fullReportAssembled": "Full report assembled: {reportId}",
+    "reportSaved": "Report saved: {reportId}",
+    "reportFolderDeleted": "Report folder deleted: {reportId}",
+    "redirectToQuickSearch": "search_graph redirected to quick_search",
+    "redirectToInsightForge": "get_simulation_context redirected to insight_forge"
+  },
+  "console": {
+    "zepToolsInitialized": "ZepToolsService initialized",
+    "zepRetryAttempt": "Zep {operation} attempt {attempt} failed: {error}, retrying in {delay}s...",
+    "zepAllRetriesFailed": "Zep {operation} failed after {retries} attempts: {error}",
+    "graphSearch": "Graph search: graph_id={graphId}, query={query}...",
+    "graphSearchOp": "Graph search (graph={graphId})",
+    "searchComplete": "Search complete: found {count} relevant facts",
+    "zepSearchApiFallback": "Zep Search API failed, falling back to local search: {error}",
+    "usingLocalSearch": "Using local search: query={query}...",
+    "localSearchComplete": "Local search complete: found {count} relevant facts",
+    "localSearchFailed": "Local search failed: {error}",
+    "fetchingAllNodes": "Fetching all nodes for graph {graphId}...",
+    "fetchedNodes": "Fetched {count} nodes",
+    "fetchingAllEdges": "Fetching all edges for graph {graphId}...",
+    "fetchedEdges": "Fetched {count} edges",
+    "fetchingNodeDetail": "Fetching node detail: {uuid}...",
+    "fetchNodeDetailOp": "Fetch node detail (uuid={uuid}...)",
+    "fetchNodeDetailFailed": "Failed to fetch node detail: {error}",
+    "fetchingNodeEdges": "Fetching edges for node {uuid}...",
+    "foundNodeEdges": "Found {count} edges related to node",
+    "fetchNodeEdgesFailed": "Failed to fetch node edges: {error}",
+    "fetchingEntitiesByType": "Fetching entities of type {type}...",
+    "foundEntitiesByType": "Found {count} entities of type {type}",
+    "fetchingEntitySummary": "Fetching relationship summary for entity {name}...",
+    "fetchingGraphStats": "Fetching statistics for graph {graphId}...",
+    "fetchingSimContext": "Fetching simulation context: {requirement}...",
+    "insightForgeStart": "InsightForge deep insight retrieval: {query}...",
+    "generatedSubQueries": "Generated {count} sub-queries",
+    "insightForgeComplete": "InsightForge complete: {facts} facts, {entities} entities, {relationships} relationships",
+    "generateSubQueriesFailed": "Failed to generate sub-queries: {error}, using defaults",
+    "panoramaSearchStart": "PanoramaSearch broad search: {query}...",
+    "panoramaSearchComplete": "PanoramaSearch complete: {active} active, {historical} historical",
+    "quickSearchStart": "QuickSearch simple search: {query}...",
+    "quickSearchComplete": "QuickSearch complete: {count} results",
+    "interviewAgentsStart": "InterviewAgents deep interview (real API): {requirement}...",
+    "profilesNotFound": "Profiles not found for simulation {simId}",
+    "loadedProfiles": "Loaded {count} agent profiles",
+    "selectedAgentsForInterview": "Selected {count} agents for interview: {indices}",
+    "generatedInterviewQuestions": "Generated {count} interview questions",
+    "callingBatchInterviewApi": "Calling batch interview API (dual platform): {count} agents",
+    "interviewApiReturned": "Interview API returned: {count} results, success={success}",
+    "interviewApiReturnedFailure": "Interview API returned failure: {error}",
+    "interviewApiCallFailed": "Interview API call failed (env not running?): {error}",
+    "interviewApiCallException": "Interview API call exception: {error}",
+    "interviewAgentsComplete": "InterviewAgents complete: interviewed {count} agents (dual platform)",
+    "loadedRedditProfiles": "Loaded {count} profiles from reddit_profiles.json",
+    "readRedditProfilesFailed": "Failed to read reddit_profiles.json: {error}",
+    "loadedTwitterProfiles": "Loaded {count} profiles from twitter_profiles.csv",
+    "readTwitterProfilesFailed": "Failed to read twitter_profiles.csv: {error}",
+    "llmSelectAgentFailed": "LLM agent selection failed, using default selection: {error}",
+    "generateInterviewQuestionsFailed": "Failed to generate interview questions: {error}",
+    "generateInterviewSummaryFailed": "Failed to generate interview summary: {error}"
+  }
+}

locales/languages.json

@@ -0,0 +1,30 @@
+{
+  "zh": {
+    "label": "中文",
+    "llmInstruction": "请使用中文回答。"
+  },
+  "en": {
+    "label": "English",
+    "llmInstruction": "Please respond in English."
+  },
+  "es": {
+    "label": "Español",
+    "llmInstruction": "Por favor, responde en español."
+  },
+  "fr": {
+    "label": "Français",
+    "llmInstruction": "Veuillez répondre en français."
+  },
+  "pt": {
+    "label": "Português",
+    "llmInstruction": "Por favor, responda em português."
+  },
+  "ru": {
+    "label": "Русский",
+    "llmInstruction": "Пожалуйста, отвечайте на русском языке."
+  },
+  "de": {
+    "label": "Deutsch",
+    "llmInstruction": "Bitte antworten Sie auf Deutsch."
+  }
+}

locales/zh.json

@@ -0,0 +1,665 @@
+{
+  "common": {
+    "confirm": "确认",
+    "cancel": "取消",
+    "loading": "加载中...",
+    "error": "错误",
+    "success": "成功",
+    "completed": "已完成",
+    "processing": "生成中",
+    "pending": "等待",
+    "ready": "就绪",
+    "running": "运行中",
+    "failed": "失败",
+    "unknown": "未知",
+    "unknownError": "未知错误",
+    "none": "无",
+    "close": "关闭",
+    "back": "返回",
+    "next": "下一步",
+    "retry": "重试",
+    "noData": "暂无数据",
+    "hours": "小时",
+    "minutes": "分钟",
+    "rounds": "轮",
+    "items": "个",
+    "files": "个文件"
+  },
+  "meta": {
+    "title": "MiroFish - 预测万物",
+    "description": "MiroFish - 社交媒体舆论模拟系统"
+  },
+  "nav": {
+    "visitGithub": "访问我们的Github主页"
+  },
+  "home": {
+    "tagline": "简洁通用的群体智能引擎",
+    "version": "/ v0.1-预览版",
+    "heroTitle1": "上传任意报告",
+    "heroTitle2": "即刻推演未来",
+    "heroDesc": "即使只有一段文字，{brand} 也能基于其中的现实种子，全自动生成与之对应的至多{agentScale}构成的平行世界。通过上帝视角注入变量，在复杂的群体交互中寻找动态环境下的{optimalSolution}",
+    "heroDescBrand": "MiroFish",
+    "heroDescAgentScale": "百万级Agent",
+    "heroDescOptimalSolution": "\"局部最优解\"",
+    "slogan": "让未来在 Agent 群中预演，让决策在百战后胜出",
+    "systemStatus": "系统状态",
+    "systemReady": "准备就绪",
+    "systemReadyDesc": "预测引擎待命中，可上传多份非结构化数据以初始化模拟序列",
+    "metricLowCost": "低成本",
+    "metricLowCostDesc": "常规模拟平均5$/次",
+    "metricHighAvail": "高可用",
+    "metricHighAvailDesc": "最多百万级Agent模拟",
+    "workflowSequence": "工作流序列",
+    "step01Title": "图谱构建",
+    "step01Desc": "现实种子提取 & 个体与群体记忆注入 & GraphRAG构建",
+    "step02Title": "环境搭建",
+    "step02Desc": "实体关系抽取 & 人设生成 & 环境配置Agent注入仿真参数",
+    "step03Title": "开始模拟",
+    "step03Desc": "双平台并行模拟 & 自动解析预测需求 & 动态更新时序记忆",
+    "step04Title": "报告生成",
+    "step04Desc": "ReportAgent拥有丰富的工具集与模拟后环境进行深度交互",
+    "step05Title": "深度互动",
+    "step05Desc": "与模拟世界中的任意一位进行对话 & 与ReportAgent进行对话",
+    "realitySeed": "01 / 现实种子",
+    "supportedFormats": "支持格式: PDF, MD, TXT",
+    "dragToUpload": "拖拽文件上传",
+    "orBrowse": "或点击浏览文件系统",
+    "inputParams": "输入参数",
+    "simulationPrompt": ">_ 02 / 模拟提示词",
+    "promptPlaceholder": "// 用自然语言输入模拟或预测需求（例.武大若发布撤销肖某处分的公告，会引发什么舆情走向）",
+    "engineBadge": "引擎: MiroFish-V1.0",
+    "startEngine": "启动引擎",
+    "initializing": "初始化中..."
+  },
+  "main": {
+    "layoutGraph": "图谱",
+    "layoutSplit": "双栏",
+    "layoutWorkbench": "工作台",
+    "stepNames": ["图谱构建", "环境搭建", "开始模拟", "报告生成", "深度互动"]
+  },
+  "step1": {
+    "ontologyGeneration": "本体生成",
+    "ontologyCompleted": "已完成",
+    "ontologyGenerating": "生成中",
+    "ontologyPending": "等待",
+    "ontologyDesc": "LLM分析文档内容与模拟需求，提取出现实种子，自动生成合适的本体结构",
+    "analyzingDocs": "正在分析文档...",
+    "graphRagBuild": "GraphRAG构建",
+    "graphRagDesc": "基于生成的本体，将文档自动分块后调用 Zep 构建知识图谱，提取实体和关系，并形成时序记忆与社区摘要",
+    "entityNodes": "实体节点",
+    "relationEdges": "关系边",
+    "schemaTypes": "SCHEMA类型",
+    "buildComplete": "构建完成",
+    "buildCompleteDesc": "图谱构建已完成，请进入下一步进行模拟环境搭建",
+    "inProgress": "进行中",
+    "creating": "创建中...",
+    "enterEnvSetup": "进入环境搭建",
+    "createSimulationFailed": "创建模拟失败: {error}",
+    "createSimulationException": "创建模拟异常: {error}"
+  },
+  "step2": {
+    "simInstanceInit": "模拟实例初始化",
+    "simInstanceDesc": "新建simulation实例，拉取模拟世界参数模版",
+    "asyncTaskDone": "异步任务已完成",
+    "generateAgentPersona": "生成 Agent 人设",
+    "generateAgentPersonaDesc": "结合上下文，自动调用工具从知识图谱梳理实体与关系，初始化模拟个体，并基于现实种子赋予他们独特的行为与记忆",
+    "currentAgentCount": "当前Agent数",
+    "expectedAgentTotal": "预期Agent总数",
+    "relatedTopicsCount": "现实种子当前关联话题数",
+    "generatedAgentPersonas": "已生成的 Agent 人设",
+    "unknownProfession": "未知职业",
+    "noBio": "暂无简介",
+    "dualPlatformConfig": "生成双平台模拟配置",
+    "dualPlatformConfigDesc": "LLM 根据模拟需求与现实种子，智能设置世界时间流速、推荐算法、每个个体的活跃时间段、发言频率、事件触发等参数",
+    "simulationDuration": "模拟时长",
+    "roundDuration": "每轮时长",
+    "totalRounds": "总轮次",
+    "activePerHour": "每小时活跃",
+    "peakHours": "高峰时段",
+    "workHours": "工作时段",
+    "morningHours": "早间时段",
+    "offPeakHours": "低谷时段",
+    "agentConfig": "Agent 配置",
+    "activeTimePeriod": "活跃时段",
+    "postsPerHour": "发帖/时",
+    "commentsPerHour": "评论/时",
+    "responseDelay": "响应延迟",
+    "activityLevel": "活跃度",
+    "sentimentBias": "情感倾向",
+    "influenceWeight": "影响力",
+    "recommendAlgoConfig": "推荐算法配置",
+    "platform1Name": "平台 1：广场 / 信息流",
+    "platform2Name": "平台 2：话题 / 社区",
+    "recencyWeight": "时效权重",
+    "popularityWeight": "热度权重",
+    "relevanceWeight": "相关性权重",
+    "viralThreshold": "病毒阈值",
+    "echoChamberStrength": "回音室强度",
+    "llmConfigReasoning": "LLM 配置推理",
+    "initialActivation": "初始激活编排",
+    "initialActivationDesc": "基于叙事方向，自动生成初始激活事件与热点话题，引导模拟世界的初始状态",
+    "orchestrating": "编排中",
+    "narrativeDirection": "叙事引导方向",
+    "initialHotTopics": "初始热点话题",
+    "initialActivationSeq": "初始激活序列 ({count})",
+    "setupComplete": "准备完成",
+    "setupCompleteDesc": "模拟环境已准备完成，可以开始运行模拟",
+    "roundsConfig": "模拟轮数设定",
+    "roundsConfigDesc": "MiroFish 自动规划推演现实 {hours} 小时，每轮代表现实 {minutesPerRound} 分钟时间流逝",
+    "customToggle": "自定义",
+    "roundsUnit": "轮",
+    "estimatedDuration": "若Agent规模为100：预计耗时约 {minutes} 分钟",
+    "estimatedDurationFull": "若Agent规模为100：预计耗时 {minutes} 分钟",
+    "recommendedRounds": "{rounds} (推荐)",
+    "customTip": "若首次运行，强烈建议切换至'自定义模式'减少模拟轮数，以便快速预览效果并降低报错风险",
+    "backToGraphBuild": "返回图谱构建",
+    "startDualWorldSim": "开始双世界并行模拟",
+    "profileModalAge": "事件外显年龄",
+    "profileModalGender": "事件外显性别",
+    "profileModalCountry": "国家/地区",
+    "profileModalMbti": "事件外显MBTI",
+    "profileModalBio": "人设简介",
+    "profileModalTopics": "现实种子关联话题",
+    "profileModalPersona": "详细人设背景",
+    "personaDimExperience": "事件全景经历",
+    "personaDimExperienceDesc": "在此事件中的完整行为轨迹",
+    "personaDimBehavior": "行为模式侧写",
+    "personaDimBehaviorDesc": "经验总结与行事风格偏好",
+    "personaDimMemory": "独特记忆印记",
+    "personaDimMemoryDesc": "基于现实种子形成的记忆",
+    "personaDimSocial": "社会关系网络",
+    "personaDimSocialDesc": "个体链接与交互图谱",
+    "genderMale": "男",
+    "genderFemale": "女",
+    "genderOther": "其他",
+    "yearsOld": "岁",
+    "initializing": "初始化",
+    "generating": "生成中"
+  },
+  "step3": {
+    "startGenerateReport": "开始生成结果报告",
+    "generatingReport": "启动中...",
+    "waitingForActions": "Waiting for agent actions...",
+    "errorMissingSimId": "错误：缺少 simulationId",
+    "startingDualSim": "正在启动双平台并行模拟...",
+    "graphMemoryUpdateEnabled": "已开启动态图谱更新模式",
+    "setMaxRounds": "设置最大模拟轮数: {rounds}",
+    "oldSimCleared": "已清理旧的模拟日志，重新开始模拟",
+    "engineStarted": "模拟引擎启动成功",
+    "startFailed": "启动失败: {error}",
+    "startException": "启动异常: {error}",
+    "stoppingSim": "正在停止模拟...",
+    "simStopped": "模拟已停止",
+    "stopFailed": "停止失败: {error}",
+    "stopException": "停止异常: {error}",
+    "allPlatformsCompleted": "检测到所有平台模拟已结束",
+    "simCompleted": "模拟已完成",
+    "graphRealtimeRefresh": "开启图谱实时刷新 (30s)",
+    "graphRefreshStopped": "停止图谱实时刷新",
+    "preparingGoBack": "准备返回 Step 2，正在关闭模拟...",
+    "closingSimEnv": "正在关闭模拟环境...",
+    "simEnvClosed": "模拟环境已关闭",
+    "closeFailed": "关闭模拟环境失败，尝试强制停止...",
+    "stoppingProcess": "正在停止模拟进程...",
+    "checkStatusFailed": "检查模拟状态失败: {error}",
+    "forceStopSuccess": "模拟已强制停止",
+    "forceStopFailed": "强制停止失败: {error}",
+    "startGenerateReportBtn": "开始生成结果报告",
+    "generatingReportBtn": "启动中..."
+  },
+  "step4": {
+    "generatingSection": "正在生成{title}...",
+    "goToInteraction": "进入深度互动",
+    "waitingForReportAgent": "Waiting for Report Agent...",
+    "collapse": "收起 ▲",
+    "expandAll": "展开全部 {count} 条 ▼",
+    "expandAllEntities": "展开全部 {count} 个 ▼",
+    "scenarioLabel": "预测场景: ",
+    "tabKeyFacts": "当前关键记忆 ({count})",
+    "tabCoreEntities": "核心实体 ({count})",
+    "tabRelationChains": "关系链 ({count})",
+    "tabSubQueries": "子问题 ({count})",
+    "panelKeyFacts": "时序记忆中所关联的最新关键事实",
+    "totalCount": "共 {count} 条",
+    "totalEntityCount": "共 {count} 个",
+    "panelCoreEntities": "核心实体",
+    "factCount": "{count}条",
+    "panelRelationChains": "关系链",
+    "panelSubQueries": "漂移查询生成分析子问题",
+    "emptyKeyFacts": "暂无当前关键记忆",
+    "emptyCoreEntities": "暂无核心实体",
+    "emptyRelationChains": "暂无关系链",
+    "tabActiveFacts": "当前有效记忆 ({count})",
+    "tabHistoricalFacts": "历史记忆 ({count})",
+    "tabEntities": "涉及实体 ({count})",
+    "panelActiveFacts": "当前有效记忆",
+    "emptyActiveFacts": "暂无当前有效记忆",
+    "panelHistoricalFacts": "历史记忆",
+    "emptyHistoricalFacts": "暂无历史记忆",
+    "panelEntities": "涉及实体",
+    "emptyEntities": "暂无涉及实体",
+    "searchLabel": "搜索: ",
+    "tabFacts": "事实 ({count})",
+    "tabEdges": "关系 ({count})",
+    "tabNodes": "节点 ({count})",
+    "panelSearchResults": "搜索结果",
+    "emptySearchResults": "未找到相关结果",
+    "panelRelatedEdges": "相关关系",
+    "panelRelatedNodes": "相关节点",
+    "world1": "世界1",
+    "world2": "世界2"
+  },
+  "step5": {
+    "interactiveTools": "Interactive Tools",
+    "agentsAvailable": "{count} agents available",
+    "chatWithReportAgent": "与Report Agent对话",
+    "chatWithAgent": "与世界中任意个体对话",
+    "selectChatTarget": "选择对话对象",
+    "sendSurvey": "发送问卷调查到世界中",
+    "reportAgentChat": "Report Agent - Chat",
+    "reportAgentDesc": "报告生成智能体的快速对话版本，可调用 4 种专业工具，拥有MiroFish的完整记忆",
+    "toolInsightForge": "InsightForge 深度归因",
+    "toolInsightForgeDesc": "对齐现实世界种子数据与模拟环境状态，结合Global/Local Memory机制，提供跨时空的深度归因分析",
+    "toolPanoramaSearch": "PanoramaSearch 全景追踪",
+    "toolPanoramaSearchDesc": "基于图结构的广度遍历算法，重构事件传播路径，捕获全量信息流动的拓扑结构",
+    "toolQuickSearch": "QuickSearch 快速检索",
+    "toolQuickSearchDesc": "基于 GraphRAG 的即时查询接口，优化索引效率，用于快速提取具体的节点属性与离散事实",
+    "toolInterviewSubAgent": "InterviewSubAgent 虚拟访谈",
+    "toolInterviewSubAgentDesc": "自主式访谈，能够并行与模拟世界中个体进行多轮对话，采集非结构化的观点数据与心理状态",
+    "profileBio": "简介",
+    "chatEmptyReportAgent": "与 Report Agent 对话，深入了解报告内容",
+    "chatEmptyAgent": "与模拟个体对话，了解他们的观点",
+    "chatInputPlaceholder": "输入您的问题...",
+    "selectSurveyTarget": "选择调查对象",
+    "selectedCount": "已选 {selected} / {total}",
+    "surveyQuestions": "问卷问题",
+    "surveyInputPlaceholder": "输入您想问所有被选中对象的问题...",
+    "submitSurvey": "发送问卷",
+    "surveyResults": "调查结果",
+    "surveyResultsCount": "{count} 条回复",
+    "selectAll": "全选",
+    "clearSelection": "清空",
+    "errorOccurred": "抱歉，发生了错误: {error}",
+    "noResponse": "无响应",
+    "requestFailed": "请求失败",
+    "selectAgentFirst": "请先选择一个模拟个体"
+  },
+  "graph": {
+    "panelTitle": "Graph Relationship Visualization",
+    "refreshGraph": "刷新图谱",
+    "graphMemoryRealtime": "GraphRAG长短期记忆实时更新中",
+    "realtimeUpdating": "实时更新中...",
+    "pendingContentHint": "还有少量内容处理中，建议稍后手动刷新图谱",
+    "nodeDetails": "Node Details",
+    "relationship": "Relationship",
+    "graphDataLoading": "图谱数据加载中...",
+    "waitingOntology": "等待本体生成...",
+    "toggleMaximize": "最大化/还原",
+    "closeHint": "关闭提示"
+  },
+  "history": {
+    "title": "推演记录",
+    "graphBuild": "图谱构建",
+    "envSetup": "环境搭建",
+    "analysisReport": "分析报告",
+    "moreFiles": "+{count} 个文件",
+    "noFiles": "暂无文件",
+    "loadingText": "加载中...",
+    "simRequirement": "模拟需求",
+    "relatedFiles": "关联文件",
+    "noRelatedFiles": "暂无关联文件",
+    "replayTitle": "推演回放",
+    "step1Button": "图谱构建",
+    "step2Button": "环境搭建",
+    "step4Button": "分析报告",
+    "replayHint": "Step3「开始模拟」与 Step5「深度互动」需在运行中启动，不支持历史回放",
+    "notStarted": "未开始",
+    "roundsProgress": "{current}/{total} 轮",
+    "untitledSimulation": "未命名模拟",
+    "unknownFile": "未知文件"
+  },
+  "api": {
+    "projectNotFound": "项目不存在: {id}",
+    "projectDeleteFailed": "项目不存在或删除失败: {id}",
+    "projectDeleted": "项目已删除: {id}",
+    "projectReset": "项目已重置: {id}",
+    "requireSimulationRequirement": "请提供模拟需求描述 (simulation_requirement)",
+    "requireFileUpload": "请至少上传一个文档文件",
+    "noDocProcessed": "没有成功处理任何文档，请检查文件格式",
+    "requireProjectId": "请提供 project_id",
+    "configError": "配置错误: {details}",
+    "zepApiKeyMissing": "ZEP_API_KEY未配置",
+    "ontologyNotGenerated": "项目尚未生成本体，请先调用 /ontology/generate",
+    "graphBuilding": "图谱正在构建中，请勿重复提交。如需强制重建，请添加 force: true",
+    "textNotFound": "未找到提取的文本内容",
+    "ontologyNotFound": "未找到本体定义",
+    "graphBuildStarted": "图谱构建任务已启动，请通过 /task/{taskId} 查询进度",
+    "graphBuildComplete": "图谱构建完成",
+    "buildFailed": "构建失败: {error}",
+    "taskNotFound": "任务不存在: {id}",
+    "graphDeleted": "图谱已删除: {id}",
+    "entityNotFound": "实体不存在: {id}",
+    "graphNotBuilt": "项目尚未构建图谱，请先调用 /api/graph/build",
+    "requireSimulationId": "请提供 simulation_id",
+    "simulationNotFound": "模拟不存在: {id}",
+    "projectMissingRequirement": "项目缺少模拟需求描述 (simulation_requirement)",
+    "prepareStarted": "准备任务已启动，请通过 /api/simulation/prepare/status 查询进度",
+    "alreadyPrepared": "已有完成的准备工作，无需重复生成",
+    "notStartedPrepare": "尚未开始准备，请调用 /api/simulation/prepare 开始",
+    "taskCompletedPrepared": "任务已完成（准备工作已存在）",
+    "requireTaskOrSimId": "请提供 task_id 或 simulation_id",
+    "configNotFound": "模拟配置不存在，请先调用 /prepare 接口",
+    "configFileNotFound": "配置文件不存在，请先调用 /prepare 接口",
+    "unknownScript": "未知脚本: {name}，可选: {allowed}",
+    "scriptFileNotFound": "脚本文件不存在: {name}",
+    "requireGraphId": "请提供 graph_id",
+    "noMatchingEntities": "没有找到符合条件的实体",
+    "maxRoundsPositive": "max_rounds 必须是正整数",
+    "maxRoundsInvalid": "max_rounds 必须是有效的整数",
+    "invalidPlatform": "无效的平台类型: {platform}，可选: twitter/reddit/parallel",
+    "simRunningForceHint": "模拟正在运行中，请先调用 /stop 接口停止，或使用 force=true 强制重新开始",
+    "simNotReady": "模拟未准备好，当前状态: {status}，请先调用 /prepare 接口",
+    "graphIdRequiredForMemory": "启用图谱记忆更新需要有效的 graph_id，请确保项目已构建图谱",
+    "dbNotExist": "数据库不存在，模拟可能尚未运行",
+    "requireMessage": "请提供 message",
+    "missingGraphId": "缺少图谱ID",
+    "missingGraphIdEnsure": "缺少图谱ID，请确保已构建图谱",
+    "missingSimRequirement": "缺少模拟需求描述",
+    "reportAlreadyExists": "报告已存在",
+    "reportGenerateStarted": "报告生成任务已启动，请通过 /api/report/generate/status 查询进度",
+    "reportGenerated": "报告已生成",
+    "reportNotFound": "报告不存在: {id}",
+    "noReportForSim": "该模拟暂无报告: {id}",
+    "reportDeleted": "报告已删除: {id}",
+    "reportGenerateFailed": "报告生成失败",
+    "sectionNotFound": "章节不存在: section_{index}.md",
+    "reportProgressNotAvail": "报告不存在或进度信息不可用: {id}",
+    "requireAgentId": "请提供 agent_id",
+    "requirePrompt": "请提供 prompt（采访问题）",
+    "invalidInterviewPlatform": "platform 参数只能是 'twitter' 或 'reddit'",
+    "envNotRunning": "模拟环境未运行或已关闭。请确保模拟已完成并进入等待命令模式。",
+    "interviewTimeout": "等待Interview响应超时: {error}",
+    "requireInterviews": "请提供 interviews（采访列表）",
+    "interviewListMissingAgentId": "采访列表第{index}项缺少 agent_id",
+    "interviewListMissingPrompt": "采访列表第{index}项缺少 prompt",
+    "interviewListInvalidPlatform": "采访列表第{index}项的platform只能是 'twitter' 或 'reddit'",
+    "batchInterviewTimeout": "等待批量Interview响应超时: {error}",
+    "globalInterviewTimeout": "等待全局Interview响应超时: {error}",
+    "envRunning": "环境正在运行，可以接收Interview命令",
+    "envNotRunningShort": "环境未运行或已关闭",
+    "requireGraphIdAndQuery": "请提供 graph_id 和 query",
+    "initReportAgent": "初始化Report Agent..."
+  },
+  "progress": {
+    "initGraphService": "初始化图谱构建服务...",
+    "textChunking": "文本分块中...",
+    "creatingZepGraph": "创建Zep图谱...",
+    "settingOntology": "设置本体定义...",
+    "addingChunks": "开始添加 {count} 个文本块...",
+    "waitingZepProcess": "等待Zep处理数据...",
+    "fetchingGraphData": "获取图谱数据...",
+    "graphBuildComplete": "图谱构建完成",
+    "buildFailed": "构建失败: {error}",
+    "startBuildingGraph": "开始构建图谱...",
+    "graphCreated": "图谱已创建: {graphId}",
+    "ontologySet": "本体已设置",
+    "textSplit": "文本已分割为 {count} 个块",
+    "fetchingGraphInfo": "获取图谱信息...",
+    "sendingBatch": "发送第 {current}/{total} 批数据 ({chunks} 块)...",
+    "batchFailed": "批次 {batch} 发送失败: {error}",
+    "noEpisodesWait": "无需等待（没有 episode）",
+    "waitingEpisodes": "开始等待 {count} 个文本块处理...",
+    "episodesTimeout": "部分文本块超时，已完成 {completed}/{total}",
+    "zepProcessing": "Zep处理中... {completed}/{total} 完成, {pending} 待处理 ({elapsed}秒)",
+    "processingComplete": "处理完成: {completed}/{total}",
+    "taskComplete": "任务完成",
+    "taskFailed": "任务失败",
+    "startPreparingEnv": "开始准备模拟环境...",
+    "connectingZepGraph": "正在连接Zep图谱...",
+    "readingNodeData": "正在读取节点数据...",
+    "readingComplete": "完成，共 {count} 个实体",
+    "startGenerating": "开始生成...",
+    "analyzingRequirements": "正在分析模拟需求...",
+    "generatingOutline": "正在生成报告大纲...",
+    "parsingOutline": "正在解析大纲结构...",
+    "outlinePlanComplete": "大纲规划完成",
+    "deepSearchAndWrite": "深度检索与撰写中 ({current}/{max})",
+    "initReport": "初始化报告...",
+    "startPlanningOutline": "开始规划报告大纲...",
+    "outlineDone": "大纲规划完成，共{count}个章节",
+    "generatingSection": "正在生成章节: {title} ({current}/{total})",
+    "sectionDone": "章节 {title} 已完成",
+    "assemblingReport": "正在组装完整报告...",
+    "reportComplete": "报告生成完成",
+    "reportFailed": "报告生成失败: {error}",
+    "savingProfiles": "保存Profile文件...",
+    "profilesComplete": "完成，共 {count} 个Profile",
+    "callingLLMConfig": "正在调用LLM生成配置...",
+    "savingConfigFiles": "正在保存配置文件...",
+    "configComplete": "配置生成完成",
+    "generatingTimeConfig": "生成时间配置...",
+    "generatingEventConfig": "生成事件配置和热点话题...",
+    "generatingAgentConfig": "生成Agent配置 ({start}-{end}/{total})...",
+    "generatingPlatformConfig": "生成平台配置...",
+    "zepSearchQuery": "关于{name}的所有信息、活动、事件、关系和背景",
+    "timeConfigLabel": "时间配置",
+    "eventConfigLabel": "事件配置",
+    "agentConfigResult": "Agent配置: 成功生成 {count} 个",
+    "postAssignResult": "初始帖子分配: {count} 个帖子已分配发布者",
+    "profileGenerated": "[已生成] {name} ({type})",
+    "readingGraphEntities": "读取图谱实体",
+    "generatingProfiles": "生成Agent人设",
+    "generatingSimConfig": "生成模拟配置",
+    "preparingScripts": "准备模拟脚本"
+  },
+  "log": {
+    "preparingGoBack": "准备返回 Step 2，正在关闭模拟...",
+    "closingSimEnv": "正在关闭模拟环境...",
+    "simEnvClosed": "✓ 模拟环境已关闭",
+    "closeSimEnvFailed": "关闭模拟环境失败，尝试强制停止...",
+    "simForceStopSuccess": "✓ 模拟已强制停止",
+    "forceStopFailed": "强制停止失败: {error}",
+    "stoppingSimProcess": "正在停止模拟进程...",
+    "simStopped": "✓ 模拟已停止",
+    "stopSimFailed": "停止模拟失败: {error}",
+    "checkStatusFailed": "检查模拟状态失败: {error}",
+    "enterStep4": "进入 Step 4: 报告生成",
+    "loadingSimData": "加载模拟数据: {id}",
+    "timeConfig": "时间配置: 每轮 {minutes} 分钟",
+    "timeConfigFetchFailed": "获取时间配置失败，使用默认值: {minutes}分钟/轮",
+    "projectLoadSuccess": "项目加载成功: {id}",
+    "loadSimDataFailed": "加载模拟数据失败: {error}",
+    "loadException": "加载异常: {error}",
+    "graphDataLoadSuccess": "图谱数据加载成功",
+    "graphLoadFailed": "图谱加载失败: {error}",
+    "graphRealtimeRefreshStart": "开启图谱实时刷新 (30s)",
+    "graphRealtimeRefreshStop": "停止图谱实时刷新",
+    "simRunViewInit": "SimulationRunView 初始化",
+    "customRounds": "自定义模拟轮数: {rounds}",
+    "enterStep3": "进入 Step 3: 开始模拟",
+    "customRoundsConfig": "自定义模拟轮数: {rounds} 轮",
+    "useAutoRounds": "使用自动配置的模拟轮数",
+    "detectedSimEnvRunning": "检测到模拟环境正在运行，正在关闭...",
+    "closeSimEnvFailedWithError": "关闭模拟环境失败: {error}",
+    "closeSimEnvException": "关闭模拟环境异常: {error}",
+    "detectedSimRunning": "检测到模拟状态为运行中，正在停止...",
+    "forceStopSimFailed": "强制停止模拟失败: {error}",
+    "forceStopSimException": "强制停止模拟异常: {error}",
+    "simViewInit": "SimulationView 初始化",
+    "errorMissingSimId": "错误：缺少 simulationId",
+    "simInstanceCreated": "模拟实例已创建: {id}",
+    "preparingSimEnv": "正在准备模拟环境...",
+    "detectedExistingPrep": "检测到已有完成的准备工作，直接使用",
+    "prepareTaskStarted": "准备任务已启动",
+    "prepareTaskId": "  └─ Task ID: {taskId}",
+    "zepEntitiesFound": "从Zep图谱读取到 {count} 个实体",
+    "entityTypes": "  └─ 实体类型: {types}",
+    "startPollingProgress": "开始轮询准备进度...",
+    "prepareFailed": "准备失败: {error}",
+    "prepareException": "准备异常: {error}",
+    "prepareComplete": "✓ 准备工作已完成",
+    "prepareFailedWithError": "✗ 准备失败: {error}",
+    "startGeneratingConfig": "开始生成双平台模拟配置...",
+    "generatingAgentProfileConfig": "正在生成Agent人设配置...",
+    "generatingLLMConfig": "正在调用LLM生成模拟配置参数...",
+    "configComplete": "✓ 模拟配置生成完成",
+    "configSummaryAgents": "  ├─ Agent数量: {count}个",
+    "configSummaryHours": "  ├─ 模拟时长: {hours}小时",
+    "configSummaryPosts": "  ├─ 初始帖子: {count}条",
+    "configSummaryTopics": "  ├─ 热点话题: {count}个",
+    "configSummaryPlatforms": "  └─ 平台配置: Twitter {twitter}, Reddit {reddit}",
+    "timeConfigDetail": "时间配置: 每轮{minutes}分钟, 共{rounds}轮",
+    "narrativeDirection": "叙事方向: {direction}",
+    "envSetupComplete": "✓ 环境搭建完成，可以开始模拟",
+    "startSimCustomRounds": "开始模拟，自定义轮数: {rounds} 轮",
+    "startSimAutoRounds": "开始模拟，使用自动配置轮数: {rounds} 轮",
+    "startGeneratingAgentProfiles": "开始生成Agent人设...",
+    "agentProfile": "→ Agent人设 {current}/{total}: {name} ({profession})",
+    "allProfilesComplete": "✓ 全部 {count} 个Agent人设生成完成",
+    "loadingExistingConfig": "正在加载已有配置数据...",
+    "loadedAgentProfiles": "已加载 {count} 个Agent人设",
+    "configLoadSuccess": "✓ 模拟配置加载成功",
+    "configSummaryPostsAlt": "  └─ 初始帖子: {count}条",
+    "configGenerating": "配置生成中，开始轮询等待...",
+    "loadConfigFailed": "加载配置失败: {error}",
+    "step2Init": "Step2 环境搭建初始化",
+    "step3Init": "Step3 模拟运行初始化",
+    "startingDualSim": "正在启动双平台并行模拟...",
+    "setMaxRounds": "设置最大模拟轮数: {rounds}",
+    "graphMemoryUpdateEnabled": "已开启动态图谱更新模式",
+    "oldSimCleared": "✓ 已清理旧的模拟日志，重新开始模拟",
+    "engineStarted": "✓ 模拟引擎启动成功",
+    "startFailed": "✗ 启动失败: {error}",
+    "startException": "✗ 启动异常: {error}",
+    "stoppingSim": "正在停止模拟...",
+    "simStoppedSuccess": "✓ 模拟已停止",
+    "stopFailed": "停止失败: {error}",
+    "stopException": "停止异常: {error}",
+    "allPlatformsCompleted": "✓ 检测到所有平台模拟已结束",
+    "simCompleted": "✓ 模拟已完成",
+    "reportRequestSent": "报告生成请求已发送，请稍候...",
+    "startingReportGen": "正在启动报告生成...",
+    "reportGenTaskStarted": "✓ 报告生成任务已启动: {reportId}",
+    "reportGenFailed": "✗ 启动报告生成失败: {error}",
+    "reportGenException": "✗ 启动报告生成异常: {error}",
+    "step5Init": "Step5 深度互动初始化",
+    "selectChatTarget": "选择对话对象: {name}",
+    "sendFailed": "发送失败: {error}",
+    "sendToReportAgent": "向 Report Agent 发送: {message}...",
+    "reportAgentReplied": "Report Agent 已回复",
+    "sendToAgent": "向 {name} 发送: {message}...",
+    "agentReplied": "{name} 已回复",
+    "sendSurvey": "发送问卷给 {count} 个对象...",
+    "receivedReplies": "收到 {count} 条回复",
+    "surveySendFailed": "问卷发送失败: {error}",
+    "loadReportData": "加载报告数据: {id}",
+    "loadReportFailed": "加载报告失败: {error}",
+    "reportDataLoaded": "报告数据加载完成",
+    "loadReportLogFailed": "加载报告日志失败: {error}",
+    "loadedProfiles": "加载了 {count} 个模拟个体",
+    "loadProfilesFailed": "加载模拟个体失败: {error}",
+    "interactionViewInit": "InteractionView 初始化",
+    "reportViewInit": "ReportView 初始化",
+    "getReportInfoFailed": "获取报告信息失败: {error}",
+    "enterStep": "进入 Step {step}: {name}",
+    "returnToStep": "返回 Step {step}: {name}",
+    "customSimRounds": "自定义模拟轮数: {rounds} 轮"
+  },
+  "report": {
+    "taskStarted": "报告生成任务开始",
+    "planningStart": "开始规划报告大纲",
+    "fetchSimContext": "获取模拟上下文信息",
+    "planningComplete": "大纲规划完成",
+    "sectionStart": "开始生成章节: {title}",
+    "reactThought": "ReACT 第{iteration}轮思考",
+    "toolCall": "调用工具: {toolName}",
+    "toolResult": "工具 {toolName} 返回结果",
+    "llmResponse": "LLM 响应 (工具调用: {hasToolCalls}, 最终答案: {hasFinalAnswer})",
+    "sectionContentDone": "章节 {title} 内容生成完成",
+    "sectionComplete": "章节 {title} 生成完成",
+    "reportComplete": "报告生成完成",
+    "errorOccurred": "发生错误: {error}",
+    "agentInitDone": "ReportAgent 初始化完成: graph_id={graphId}, simulation_id={simulationId}",
+    "executingTool": "执行工具: {toolName}, 参数: {params}",
+    "toolExecFailed": "工具执行失败: {toolName}, 错误: {error}",
+    "startPlanningOutline": "开始规划报告大纲...",
+    "outlinePlanDone": "大纲规划完成: {count} 个章节",
+    "outlinePlanFailed": "大纲规划失败: {error}",
+    "reactGenerateSection": "ReACT生成章节: {title}",
+    "sectionIterNone": "章节 {title} 第 {iteration} 次迭代: LLM 返回 None",
+    "sectionConflict": "章节 {title} 第 {iteration} 轮: LLM 同时输出工具调用和 Final Answer（第 {conflictCount} 次冲突）",
+    "sectionConflictDowngrade": "章节 {title}: 连续 {conflictCount} 次冲突，降级为截断执行第一个工具调用",
+    "sectionGenDone": "章节 {title} 生成完成（工具调用: {count}次）",
+    "multiToolOnlyFirst": "LLM 尝试调用 {total} 个工具，只执行第一个: {toolName}",
+    "sectionNoPrefix": "章节 {title} 未检测到 'Final Answer:' 前缀，直接采纳LLM输出作为最终内容（工具调用: {count}次）",
+    "sectionMaxIter": "章节 {title} 达到最大迭代次数，强制生成",
+    "sectionForceFailed": "章节 {title} 强制收尾时 LLM 返回 None，使用默认错误提示",
+    "sectionGenFailedContent": "（本章节生成失败：LLM 返回空响应，请稍后重试）",
+    "outlineSavedToFile": "大纲已保存到文件: {reportId}/outline.json",
+    "sectionSaved": "章节已保存: {reportId}/section_{sectionNum}.md",
+    "reportGenDone": "报告生成完成: {reportId}",
+    "reportGenFailed": "报告生成失败: {error}",
+    "agentChat": "Report Agent对话: {message}...",
+    "fetchReportFailed": "获取报告内容失败: {error}",
+    "outlineSaved": "大纲已保存: {reportId}",
+    "sectionFileSaved": "章节已保存: {reportId}/{fileSuffix}",
+    "fullReportAssembled": "完整报告已组装: {reportId}",
+    "reportSaved": "报告已保存: {reportId}",
+    "reportFolderDeleted": "报告文件夹已删除: {reportId}",
+    "redirectToQuickSearch": "search_graph 已重定向到 quick_search",
+    "redirectToInsightForge": "get_simulation_context 已重定向到 insight_forge"
+  },
+  "console": {
+    "zepToolsInitialized": "ZepToolsService 初始化完成",
+    "zepRetryAttempt": "Zep {operation} 第 {attempt} 次尝试失败: {error}, {delay}秒后重试...",
+    "zepAllRetriesFailed": "Zep {operation} 在 {retries} 次尝试后仍失败: {error}",
+    "graphSearch": "图谱搜索: graph_id={graphId}, query={query}...",
+    "graphSearchOp": "图谱搜索(graph={graphId})",
+    "searchComplete": "搜索完成: 找到 {count} 条相关事实",
+    "zepSearchApiFallback": "Zep Search API失败，降级为本地搜索: {error}",
+    "usingLocalSearch": "使用本地搜索: query={query}...",
+    "localSearchComplete": "本地搜索完成: 找到 {count} 条相关事实",
+    "localSearchFailed": "本地搜索失败: {error}",
+    "fetchingAllNodes": "获取图谱 {graphId} 的所有节点...",
+    "fetchedNodes": "获取到 {count} 个节点",
+    "fetchingAllEdges": "获取图谱 {graphId} 的所有边...",
+    "fetchedEdges": "获取到 {count} 条边",
+    "fetchingNodeDetail": "获取节点详情: {uuid}...",
+    "fetchNodeDetailOp": "获取节点详情(uuid={uuid}...)",
+    "fetchNodeDetailFailed": "获取节点详情失败: {error}",
+    "fetchingNodeEdges": "获取节点 {uuid}... 的相关边",
+    "foundNodeEdges": "找到 {count} 条与节点相关的边",
+    "fetchNodeEdgesFailed": "获取节点边失败: {error}",
+    "fetchingEntitiesByType": "获取类型为 {type} 的实体...",
+    "foundEntitiesByType": "找到 {count} 个 {type} 类型的实体",
+    "fetchingEntitySummary": "获取实体 {name} 的关系摘要...",
+    "fetchingGraphStats": "获取图谱 {graphId} 的统计信息...",
+    "fetchingSimContext": "获取模拟上下文: {requirement}...",
+    "insightForgeStart": "InsightForge 深度洞察检索: {query}...",
+    "generatedSubQueries": "生成 {count} 个子问题",
+    "insightForgeComplete": "InsightForge完成: {facts}条事实, {entities}个实体, {relationships}条关系",
+    "generateSubQueriesFailed": "生成子问题失败: {error}，使用默认子问题",
+    "panoramaSearchStart": "PanoramaSearch 广度搜索: {query}...",
+    "panoramaSearchComplete": "PanoramaSearch完成: {active}条有效, {historical}条历史",
+    "quickSearchStart": "QuickSearch 简单搜索: {query}...",
+    "quickSearchComplete": "QuickSearch完成: {count}条结果",
+    "interviewAgentsStart": "InterviewAgents 深度采访（真实API）: {requirement}...",
+    "profilesNotFound": "未找到模拟 {simId} 的人设文件",
+    "loadedProfiles": "加载到 {count} 个Agent人设",
+    "selectedAgentsForInterview": "选择了 {count} 个Agent进行采访: {indices}",
+    "generatedInterviewQuestions": "生成了 {count} 个采访问题",
+    "callingBatchInterviewApi": "调用批量采访API（双平台）: {count} 个Agent",
+    "interviewApiReturned": "采访API返回: {count} 个结果, success={success}",
+    "interviewApiReturnedFailure": "采访API返回失败: {error}",
+    "interviewApiCallFailed": "采访API调用失败（环境未运行？）: {error}",
+    "interviewApiCallException": "采访API调用异常: {error}",
+    "interviewAgentsComplete": "InterviewAgents完成: 采访了 {count} 个Agent（双平台）",
+    "loadedRedditProfiles": "从 reddit_profiles.json 加载了 {count} 个人设",
+    "readRedditProfilesFailed": "读取 reddit_profiles.json 失败: {error}",
+    "loadedTwitterProfiles": "从 twitter_profiles.csv 加载了 {count} 个人设",
+    "readTwitterProfilesFailed": "读取 twitter_profiles.csv 失败: {error}",
+    "llmSelectAgentFailed": "LLM选择Agent失败，使用默认选择: {error}",
+    "generateInterviewQuestionsFailed": "生成采访问题失败: {error}",
+    "generateInterviewSummaryFailed": "生成采访摘要失败: {error}"
+  }
+}