feat: 支持多语言提示词本地化和界面优化

- 添加 prompt_locale 参数支持简体中文、繁体中文和英文提示词本地化
- 移除内置 agents 配置以简化系统架构
- 更新 ContextBuilder 使用动态提示词模板而非硬编码内容
- 在 AgentLoop、Web 接口和 AgentService 中传递 locale 参数
- 添加输出语言指令确保用户界面内容按指定语言生成
- 扩展前端 LanguageSwitcher 组件支持三种语言选项
- 优化 Header 和侧边栏组件的响应式布局和文本截断处理
- 更新测试用例验证不同语言环境下的提示词正确性

app-instance/backend/beaver/services/agent_service.py

@@ -22,6 +22,7 @@ from beaver.engine import AgentLoop, AgentProfile, AgentRunResult, EngineLoader
 from beaver.engine.providers import make_provider_bundle
 from beaver.foundation.events import InboundMessage, OutboundMessage
 from beaver.foundation.models import CronJob, CronRunRecord
+from beaver.prompts.main_agent import normalize_main_agent_prompt_locale
 from beaver.tasks import (
     EvidenceBuilder,
     MainAgentRouter,
@@ -622,6 +623,7 @@ class AgentService:
                 session_id=session_id,
                 description=message,
                 metadata={
+                    "prompt_locale": normalize_main_agent_prompt_locale(kwargs.get("prompt_locale")),
                     "router_reason": decision.reason,
                     **({"short_title": decision.short_title} if decision.short_title else {}),
                 },
@@ -749,6 +751,8 @@ class AgentService:
         session_manager = self._require_loaded(loaded, "session_manager")
 
         base_execution_context = kwargs.get("execution_context")
+        prompt_locale = kwargs.get("prompt_locale") or task.metadata.get("prompt_locale")
+        output_language_instruction = self._output_language_instruction(prompt_locale)
         provider_bundle = kwargs.get("provider_bundle") or self._make_provider_bundle_for_task(loaded, kwargs)
         kwargs = dict(kwargs)
         team_provider_bundle_factory = kwargs.pop("team_provider_bundle_factory", None)
@@ -843,8 +847,11 @@ class AgentService:
                 "allow_candidate_generation": False,
             }
         )
-        if team_execution_context:
-            attempt_kwargs["execution_context"] = self._join_context(base_execution_context, team_execution_context)
+        attempt_kwargs["execution_context"] = self._join_context(
+            base_execution_context,
+            output_language_instruction,
+            team_execution_context,
+        )
         if plan.is_team and team_execution_context:
             attempt_kwargs["include_tools"] = False
             attempt_kwargs["max_tool_iterations"] = 0
@@ -979,6 +986,24 @@ class AgentService:
             "short_title": decision.short_title,
         }
 
+    @staticmethod
+    def _output_language_instruction(prompt_locale: str | None) -> str:
+        locale = normalize_main_agent_prompt_locale(prompt_locale)
+        if locale == "en":
+            return (
+                "Output language: English. Use English for user-facing task titles, summaries, plans, "
+                "and final answers unless the user explicitly requests another language."
+            )
+        if locale == "zh-Hant":
+            return (
+                "輸出語言：繁體中文。除非使用者明確要求其他語言，所有面向使用者的任務標題、摘要、"
+                "計劃與最終回答都使用繁體中文。"
+            )
+        return (
+            "输出语言：简体中文。除非用户明确要求其他语言，所有面向用户的任务标题、摘要、"
+            "计划与最终回答都使用简体中文。"
+        )
+
     @staticmethod
     def _skill_names_for_run(loaded: Any, run_id: str) -> list[str]:
         store = getattr(loaded, "run_memory_store", None)