```

feat(engine): 添加技能查看工具并优化异步任务管理

- 添加SkillViewTool到引擎加载器中，增强技能管理功能
- 在AgentLoop中引入_active_direct_task来跟踪活跃任务
- 实现直接任务执行时的同步处理逻辑
- 更新工具实例化方式以支持依赖注入

feat(config): 增加智能体运行时参数配置支持

- 扩展AgentDefaultsConfig添加max_tokens和temperature字段
- 实现配置解析函数_first_config_value处理多个配置源
- 支持通过Web API动态更新智能体运行时参数
- 添加前端页面配置表单和验证逻辑

refactor(provider): 统一最大令牌数参数类型为可选整型

- 将所有LLM提供者的max_tokens参数改为int | None类型
- 为AnthropicProvider实现模型特定的最大令牌数默认值
- 调整参数传递逻辑，优先级：调用参数 > 配置文件 > 模型默认值
- 移除硬编码的默认值，改用条件判断

feat(process): 增强事件投影功能

- 添加工具调用开始/结束事件的映射逻辑
- 实现技能激活事件的识别和展示
- 添加辅助函数处理工具调用名称和参数提取
- 优化运行记录关联逻辑，提升事件匹配准确性

fix(web): 更新网络请求客户端信任环境设置

- 将WebFetchTool和WebSearchTool的trust_env参数设为True
- 确保HTTP客户端能够正确使用系统代理配置
- 修复可能的网络连接问题

test: 添加配置加载和事件投影相关测试

- 新增智能体默认参数配置测试用例
- 实现API配置持久化和重载测试
- 添加技能卡片和工具事件的投影测试
```

app-instance/backend/agents/registry.json

@@ -0,0 +1,145 @@
+{
+  "agents": [
+    {
+      "agent_id": "researcher",
+      "capabilities": [
+        "research",
+        "analysis",
+        "source review",
+        "requirements"
+      ],
+      "created_at": "2026-05-27T05:25:11.756341+00:00",
+      "description": "Finds facts, references, constraints, and implementation options.",
+      "display_name": "Researcher",
+      "metadata": {},
+      "model": null,
+      "name": "researcher",
+      "priority": 50,
+      "provider_name": null,
+      "role": "research",
+      "skill_names": [],
+      "source": "builtin",
+      "status": "active",
+      "system_prompt": "You are a research specialist. Gather concise evidence and tradeoffs for the parent task.",
+      "tags": [
+        "planning",
+        "research"
+      ],
+      "tool_hints": [],
+      "updated_at": "2026-05-27T05:25:11.756349+00:00"
+    },
+    {
+      "agent_id": "implementer",
+      "capabilities": [
+        "implementation",
+        "coding",
+        "refactor",
+        "integration"
+      ],
+      "created_at": "2026-05-27T05:25:11.756351+00:00",
+      "description": "Builds scoped implementation slices and proposes concrete changes.",
+      "display_name": "Implementer",
+      "metadata": {},
+      "model": null,
+      "name": "implementer",
+      "priority": 45,
+      "provider_name": null,
+      "role": "implementation",
+      "skill_names": [],
+      "source": "builtin",
+      "status": "active",
+      "system_prompt": "You are an implementation specialist. Produce practical, scoped implementation output.",
+      "tags": [
+        "coding",
+        "build"
+      ],
+      "tool_hints": [],
+      "updated_at": "2026-05-27T05:25:11.756353+00:00"
+    },
+    {
+      "agent_id": "reviewer",
+      "capabilities": [
+        "review",
+        "quality",
+        "risk",
+        "verification"
+      ],
+      "created_at": "2026-05-27T05:25:11.756355+00:00",
+      "description": "Reviews plans, code, outputs, and risks before final synthesis.",
+      "display_name": "Reviewer",
+      "metadata": {},
+      "model": null,
+      "name": "reviewer",
+      "priority": 45,
+      "provider_name": null,
+      "role": "review",
+      "skill_names": [],
+      "source": "builtin",
+      "status": "active",
+      "system_prompt": "You are a review specialist. Focus on defects, missing requirements, and risks.",
+      "tags": [
+        "review",
+        "quality"
+      ],
+      "tool_hints": [],
+      "updated_at": "2026-05-27T05:25:11.756356+00:00"
+    },
+    {
+      "agent_id": "tester",
+      "capabilities": [
+        "testing",
+        "verification",
+        "regression",
+        "qa"
+      ],
+      "created_at": "2026-05-27T05:25:11.756358+00:00",
+      "description": "Designs and executes verification checks for task outputs.",
+      "display_name": "Tester",
+      "metadata": {},
+      "model": null,
+      "name": "tester",
+      "priority": 40,
+      "provider_name": null,
+      "role": "testing",
+      "skill_names": [],
+      "source": "builtin",
+      "status": "active",
+      "system_prompt": "You are a testing specialist. Identify focused checks and report pass/fail evidence.",
+      "tags": [
+        "test",
+        "quality"
+      ],
+      "tool_hints": [],
+      "updated_at": "2026-05-27T05:25:11.756358+00:00"
+    },
+    {
+      "agent_id": "documenter",
+      "capabilities": [
+        "documentation",
+        "explanation",
+        "migration notes",
+        "release notes"
+      ],
+      "created_at": "2026-05-27T05:25:11.756360+00:00",
+      "description": "Writes and reconciles user-facing and internal documentation updates.",
+      "display_name": "Documenter",
+      "metadata": {},
+      "model": null,
+      "name": "documenter",
+      "priority": 35,
+      "provider_name": null,
+      "role": "documentation",
+      "skill_names": [],
+      "source": "builtin",
+      "status": "active",
+      "system_prompt": "You are a documentation specialist. Produce concise docs aligned with the implementation.",
+      "tags": [
+        "docs",
+        "communication"
+      ],
+      "tool_hints": [],
+      "updated_at": "2026-05-27T05:25:11.756360+00:00"
+    }
+  ],
+  "version": 1
+}

app-instance/backend/beaver/engine/loader.py

@@ -44,6 +44,7 @@ from beaver.tools.builtins import (
     SpawnTool,
     SessionSearchTool,
     SkillManageTool,
+    SkillViewTool,
     SkillsListTool,
     TerminalTool,
     TodoTool,
@@ -220,16 +221,17 @@ class EngineLoader:
                     ObjectBackedTool(WriteFileTool()),
                     ObjectBackedTool(PatchFileTool()),
                     ObjectBackedTool(WebFetchTool()),
-            ObjectBackedTool(WebSearchTool()),
-            ObjectBackedTool(TerminalTool()),
-            ObjectBackedTool(ProcessTool()),
-            ObjectBackedTool(ExecuteCodeTool()),
-            ObjectBackedTool(TodoTool()),
-            ObjectBackedTool(ClarifyTool()),
-            ObjectBackedTool(SendMessageTool()),
-            ObjectBackedTool(DelegateTool()),
-            ObjectBackedTool(SpawnTool()),
-            SkillsListTool(),
+                    ObjectBackedTool(WebSearchTool()),
+                    ObjectBackedTool(TerminalTool()),
+                    ObjectBackedTool(ProcessTool()),
+                    ObjectBackedTool(ExecuteCodeTool()),
+                    ObjectBackedTool(TodoTool()),
+                    ObjectBackedTool(ClarifyTool()),
+                    ObjectBackedTool(SendMessageTool()),
+                    ObjectBackedTool(DelegateTool()),
+                    ObjectBackedTool(SpawnTool()),
+                    SkillsListTool(),
+                    ObjectBackedTool(SkillViewTool(loader=skills_loader)),
                     SkillManageTool(),
                     CronTool(),
                 ]

app-instance/backend/beaver/engine/loop.py

@@ -48,7 +48,7 @@ class AgentProfile:
     name: str = "default"
     system_prompt: str = ""
     default_model: str = "gpt-4.1-mini"
-    max_tokens: int = 4096
+    max_tokens: int | None = None
     max_context_messages: int = 1000
     temperature: float = 0.2
     max_tool_iterations: int = 30
@@ -89,6 +89,7 @@ class AgentLoop:
         self.loaded: EngineLoadResult | None = None
         self.runtime_services: dict[str, Any] = {}
         self._run_queue: asyncio.Queue[_DirectRunRequest | None] | None = None
+        self._active_direct_task: asyncio.Task[Any] | None = None
         self._running = False
         self._stop_requested = False
 
@@ -130,6 +131,8 @@ class AgentLoop:
                 if item.future.cancelled():
                     continue
 
+                previous_direct_task = self._active_direct_task
+                self._active_direct_task = asyncio.current_task()
                 try:
                     result = await self._process_direct_impl(item.task, **item.kwargs)
                 except asyncio.CancelledError:
@@ -142,6 +145,8 @@ class AgentLoop:
                 else:
                     if not item.future.done():
                         item.future.set_result(result)
+                finally:
+                    self._active_direct_task = previous_direct_task
         finally:
             if self._run_queue is not None:
                 while True:
@@ -183,6 +188,9 @@ class AgentLoop:
         if self._stop_requested:
             raise RuntimeError("AgentLoop.submit_direct() is not accepting new tasks after stop()")
 
+        if asyncio.current_task() is self._active_direct_task:
+            return await self._process_direct_impl(task, **kwargs)
+
         future: asyncio.Future[AgentRunResult] = asyncio.get_running_loop().create_future()
         await self._run_queue.put(_DirectRunRequest(task=task, kwargs=dict(kwargs), future=future))
         return await future
@@ -363,7 +371,7 @@ class AgentLoop:
         resolved_request_timeout_seconds = configured_provider.get("request_timeout_seconds")
         resolved_embedding_model = embedding_model or config.default_embedding_model
         resolved_embedding_target = embedding_target or config.resolve_embedding_target()
-        resolved_max_tokens = max_tokens or self.profile.max_tokens
+        resolved_max_tokens = self.profile.max_tokens if max_tokens is None else max_tokens
         resolved_temperature = self.profile.temperature if temperature is None else temperature
         resolved_max_tool_iterations = (
             self.profile.max_tool_iterations if max_tool_iterations is None else max_tool_iterations
@@ -892,7 +900,7 @@ class AgentLoop:
         provider: Any,
         messages: list[dict[str, Any]],
         model: str,
-        max_tokens: int,
+        max_tokens: int | None,
         temperature: float,
         thinking_enabled: bool | None,
     ) -> str:

app-instance/backend/beaver/engine/providers/anthropic.py

@@ -43,7 +43,7 @@ class AnthropicProvider(LLMProvider):
         messages: list[dict[str, Any]],
         tools: list[dict[str, Any]] | None = None,
         model: str | None = None,
-        max_tokens: int = 4096,
+        max_tokens: int | None = None,
         temperature: float = 0.7,
         thinking_enabled: bool | None = None,
     ) -> LLMResponse:
@@ -57,9 +57,14 @@ class AnthropicProvider(LLMProvider):
             "model": model or self.default_model,
             "system": system_prompt or "",
             "messages": anthropic_messages,
-            "max_tokens": max(1, max_tokens),
             "temperature": temperature,
         }
+        resolved_max_tokens = (
+            _default_max_tokens_for_model(model or self.default_model)
+            if max_tokens is None
+            else max(1, max_tokens)
+        )
+        kwargs["max_tokens"] = resolved_max_tokens
         if tools:
             kwargs["tools"] = _convert_tools(tools)
 
@@ -100,6 +105,17 @@ class AnthropicProvider(LLMProvider):
         return self.default_model
 
 
+def _default_max_tokens_for_model(model: str) -> int:
+    """Return a conservative native output ceiling for Anthropic Messages."""
+
+    normalized = model.lower().replace("_", "-")
+    if "sonnet-4" in normalized or "opus-4" in normalized or "3-7" in normalized or "3.7" in normalized:
+        return 64_000
+    if "haiku" in normalized:
+        return 4_096
+    return 8_192
+
+
 def _convert_messages(messages: list[dict[str, Any]]) -> tuple[str, list[dict[str, Any]]]:
     system_prompt = ""
     converted: list[dict[str, Any]] = []

app-instance/backend/beaver/engine/providers/base.py

@@ -88,7 +88,7 @@ class LLMProvider(ABC):
         messages: list[dict[str, Any]],
         tools: list[dict[str, Any]] | None = None,
         model: str | None = None,
-        max_tokens: int = 4096,
+        max_tokens: int | None = None,
         temperature: float = 0.7,
         thinking_enabled: bool | None = None,
     ) -> LLMResponse:

app-instance/backend/beaver/engine/providers/chain.py

@@ -56,7 +56,7 @@ class FallbackProviderChain(LLMProvider):
         messages: list[dict],
         tools: list[dict] | None = None,
         model: str | None = None,
-        max_tokens: int = 4096,
+        max_tokens: int | None = None,
         temperature: float = 0.7,
         thinking_enabled: bool | None = None,
     ) -> LLMResponse:
@@ -115,7 +115,7 @@ class FallbackProviderChain(LLMProvider):
         messages: list[dict],
         tools: list[dict] | None,
         model: str,
-        max_tokens: int,
+        max_tokens: int | None,
         temperature: float,
         thinking_enabled: bool | None,
     ) -> LLMResponse:

app-instance/backend/beaver/engine/providers/codex.py

@@ -39,7 +39,7 @@ class OpenAICodexProvider(LLMProvider):
         messages: list[dict[str, Any]],
         tools: list[dict[str, Any]] | None = None,
         model: str | None = None,
-        max_tokens: int = 4096,
+        max_tokens: int | None = None,
         temperature: float = 0.7,
         thinking_enabled: bool | None = None,
     ) -> LLMResponse:

app-instance/backend/beaver/engine/providers/custom.py

@@ -47,7 +47,7 @@ class CustomProvider(LLMProvider):
         messages: list[dict[str, Any]],
         tools: list[dict[str, Any]] | None = None,
         model: str | None = None,
-        max_tokens: int = 4096,
+        max_tokens: int | None = None,
         temperature: float = 0.7,
         thinking_enabled: bool | None = None,
     ) -> LLMResponse:
@@ -55,9 +55,10 @@ class CustomProvider(LLMProvider):
         kwargs: dict[str, Any] = {
             "model": model or self.default_model,
             "messages": self.sanitize_empty_content(messages),
-            "max_tokens": max(1, max_tokens),
             "temperature": temperature,
         }
+        if max_tokens is not None:
+            kwargs["max_tokens"] = max(1, max_tokens)
         if tools:
             kwargs.update(tools=tools, tool_choice="auto")
         try:

app-instance/backend/beaver/engine/providers/litellm.py

@@ -197,7 +197,7 @@ class LiteLLMProvider(LLMProvider):
         messages: list[dict[str, Any]],
         tools: list[dict[str, Any]] | None = None,
         model: str | None = None,
-        max_tokens: int = 4096,
+        max_tokens: int | None = None,
         temperature: float = 0.7,
         thinking_enabled: bool | None = None,
     ) -> LLMResponse:
@@ -210,10 +210,11 @@ class LiteLLMProvider(LLMProvider):
         kwargs: dict[str, Any] = {
             "model": resolved_model,
             "messages": sanitized_messages,
-            "max_tokens": max(1, max_tokens),
             "temperature": temperature,
             "timeout": self.request_timeout_seconds or 45.0,
         }
+        if max_tokens is not None:
+            kwargs["max_tokens"] = max(1, max_tokens)
         if self.api_key:
             kwargs["api_key"] = self.api_key
         if self.api_base:

app-instance/backend/beaver/foundation/config/loader.py

@@ -86,18 +86,25 @@ def _parse_agent_defaults(data: dict[str, Any]) -> AgentDefaultsConfig:
         model=_string(defaults.get("model") or data.get("model")),
         provider=_string(defaults.get("provider") or data.get("provider")),
         embedding_model=_string(defaults.get("embeddingModel") or defaults.get("embedding_model") or data.get("embeddingModel")),
+        max_tokens=_int(_first_config_value(
+            defaults.get("maxTokens"),
+            defaults.get("max_tokens"),
+            data.get("maxTokens"),
+            data.get("max_tokens"),
+        )),
+        temperature=_float(_first_config_value(defaults.get("temperature"), data.get("temperature"))),
         max_context_messages=_int(
             defaults.get("maxContextMessages")
             or defaults.get("max_context_messages")
             or data.get("maxContextMessages")
             or data.get("max_context_messages")
         ),
-        max_tool_iterations=_int(
-            defaults.get("maxToolIterations")
-            or defaults.get("max_tool_iterations")
-            or data.get("maxToolIterations")
-            or data.get("max_tool_iterations")
-        ),
+        max_tool_iterations=_int(_first_config_value(
+            defaults.get("maxToolIterations"),
+            defaults.get("max_tool_iterations"),
+            data.get("maxToolIterations"),
+            data.get("max_tool_iterations"),
+        )),
     )
 
 
@@ -204,6 +211,13 @@ def _as_dict(value: Any) -> dict[str, Any]:
     return value if isinstance(value, dict) else {}
 
 
+def _first_config_value(*values: Any) -> Any:
+    for value in values:
+        if value not in (None, ""):
+            return value
+    return None
+
+
 def _string(value: Any) -> str | None:
     if value is None:
         return None

app-instance/backend/beaver/foundation/config/schema.py

@@ -25,6 +25,8 @@ class AgentDefaultsConfig:
     model: str | None = None
     provider: str | None = None
     embedding_model: str | None = None
+    max_tokens: int | None = None
+    temperature: float | None = None
     max_context_messages: int | None = None
     max_tool_iterations: int | None = None
 

app-instance/backend/beaver/interfaces/web/app.py

@@ -51,6 +51,8 @@ from .schemas import (
     WebChatRequest,
     WebChatResponse,
     WebErrorResponse,
+    WebAgentConfigRequest,
+    WebAgentConfigResponse,
     WebProviderConfigRequest,
     WebProviderConfigResponse,
     WebStatusResponse,
@@ -595,6 +597,38 @@ def create_app(
         _reload_agent_config(agent_service, config_path)
         return WebProviderConfigResponse(ok=True, provider=spec.name, enabled=payload.enabled)
 
+    @app.post("/api/agent-config", response_model=WebAgentConfigResponse)
+    async def update_agent_config(
+        request: Request,
+        payload: WebAgentConfigRequest,
+    ) -> WebAgentConfigResponse:
+        if payload.max_tokens is not None and payload.max_tokens <= 0:
+            raise HTTPException(status_code=400, detail="max_tokens must be a positive integer or null")
+        if payload.temperature < 0 or payload.temperature > 2:
+            raise HTTPException(status_code=400, detail="temperature must be between 0 and 2")
+        if payload.max_tool_iterations < 0:
+            raise HTTPException(status_code=400, detail="max_tool_iterations must be zero or greater")
+
+        agent_service = get_agent_service(request)
+        config_path = agent_service.loader.config.config_path or default_config_path(workspace=agent_service.loader.workspace)
+        raw = _read_config_json(config_path)
+        agents = _ensure_dict(raw, "agents")
+        defaults = _ensure_dict(agents, "defaults")
+
+        if payload.max_tokens is None:
+            defaults.pop("maxTokens", None)
+            defaults.pop("max_tokens", None)
+        else:
+            defaults["maxTokens"] = payload.max_tokens
+            defaults.pop("max_tokens", None)
+        defaults["temperature"] = payload.temperature
+        defaults["maxToolIterations"] = payload.max_tool_iterations
+        defaults.pop("max_tool_iterations", None)
+
+        _write_config_json(config_path, raw)
+        _reload_agent_config(agent_service, config_path)
+        return WebAgentConfigResponse(ok=True)
+
     @app.get("/api/sessions")
     async def list_sessions(request: Request) -> list[dict[str, Any]]:
         loaded = get_agent_service(request).create_loop().boot()

app-instance/backend/beaver/interfaces/web/schemas/__init__.py

@@ -8,6 +8,8 @@ from .chat import (
     WebChatRequest,
     WebChatResponse,
     WebErrorResponse,
+    WebAgentConfigRequest,
+    WebAgentConfigResponse,
     WebProviderConfigRequest,
     WebProviderConfigResponse,
     WebProviderTarget,
@@ -22,6 +24,8 @@ __all__ = [
     "WebChatRequest",
     "WebChatResponse",
     "WebErrorResponse",
+    "WebAgentConfigRequest",
+    "WebAgentConfigResponse",
     "WebProviderConfigRequest",
     "WebProviderConfigResponse",
     "WebProviderTarget",

app-instance/backend/beaver/interfaces/web/schemas/chat.py

@@ -139,6 +139,20 @@ class WebProviderConfigResponse(BaseModel):
     enabled: bool
 
 
+class WebAgentConfigRequest(BaseModel):
+    """Agent runtime defaults update from the settings page."""
+
+    max_tokens: int | None = None
+    temperature: float
+    max_tool_iterations: int
+
+
+class WebAgentConfigResponse(BaseModel):
+    """Agent runtime defaults update result."""
+
+    ok: bool
+
+
 class WebStatusResponse(BaseModel):
     """Web 宿主层状态响应。"""
 

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

@@ -68,6 +68,14 @@ class AgentService:
 
     def _apply_configured_profile_defaults(self) -> None:
         defaults = self.loader.config.agents_defaults
+        self.profile.max_tokens = None
+        self.profile.temperature = 0.2
+        self.profile.max_context_messages = 1000
+        self.profile.max_tool_iterations = 30
+        if defaults.max_tokens is not None:
+            self.profile.max_tokens = max(1, defaults.max_tokens)
+        if defaults.temperature is not None:
+            self.profile.temperature = defaults.temperature
         if defaults.max_context_messages is not None:
             self.profile.max_context_messages = max(1, defaults.max_context_messages)
         if defaults.max_tool_iterations is not None:

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

@@ -50,10 +50,11 @@ class SessionProcessProjector:
 
         for record in records:
             payload = dict(record.event_payload or {})
-            task_id = payload.get("task_id")
+            run_record_for_event = run_records.get(str(record.run_id)) if record.run_id else None
+            task_id = payload.get("task_id") or getattr(run_record_for_event, "task_id", None)
             if not task_id:
                 continue
-            attempt_index = int(payload.get("attempt_index") or 1)
+            attempt_index = int(payload.get("attempt_index") or getattr(run_record_for_event, "attempt_index", None) or 1)
             root_run_id = f"task:{task_id}:attempt:{attempt_index}"
             created_at = _timestamp(record.timestamp)
             root = runs.setdefault(
@@ -73,7 +74,61 @@ class SessionProcessProjector:
                 },
             )
 
-            if record.event_type == "task_execution_planned":
+            if record.event_type == "assistant_message_added" and record.tool_calls:
+                run_id = record.run_id or root_run_id
+                parent_run_id = root_run_id if run_id != root_run_id else None
+                for index, tool_call in enumerate(record.tool_calls):
+                    if not isinstance(tool_call, dict):
+                        continue
+                    tool_name = _tool_call_name(tool_call)
+                    add_event(
+                        event_id=f"{_event_id(record, 'tool-call')}:{index}",
+                        run_id=run_id,
+                        parent_run_id=parent_run_id,
+                        kind="tool_call_started",
+                        actor_type="tool",
+                        actor_id=tool_name,
+                        actor_name=tool_name,
+                        text=f"Calling tool: {tool_name}.",
+                        created_at=created_at,
+                        status="running",
+                        metadata={
+                            "task_id": task_id,
+                            "attempt_index": attempt_index,
+                            "timeline_type": "tool_call",
+                            "tool_name": tool_name,
+                            "tool_call_id": tool_call.get("id"),
+                            "arguments": _tool_call_arguments(tool_call),
+                        },
+                    )
+
+            elif record.event_type == "tool_result_recorded":
+                run_id = record.run_id or root_run_id
+                parent_run_id = root_run_id if run_id != root_run_id else None
+                tool_name = str(record.tool_name or payload.get("tool_name") or "tool")
+                add_event(
+                    event_id=_event_id(record, "tool-result"),
+                    run_id=run_id,
+                    parent_run_id=parent_run_id,
+                    kind="tool_call_finished",
+                    actor_type="tool",
+                    actor_id=tool_name,
+                    actor_name=tool_name,
+                    text=_truncate(str(record.content or payload.get("error") or "")),
+                    created_at=created_at,
+                    status="done" if payload.get("success", True) else "error",
+                    metadata={
+                        **dict(payload),
+                        "task_id": task_id,
+                        "attempt_index": attempt_index,
+                        "timeline_type": "tool_result",
+                        "tool_name": tool_name,
+                        "tool_call_id": record.tool_call_id,
+                        "result_summary": _truncate(str(record.content or payload.get("error") or "")),
+                    },
+                )
+
+            elif record.event_type == "task_execution_planned":
                 plan_mode = payload.get("plan_mode") or "single"
                 strategy = payload.get("strategy") or "single"
                 node_ids = payload.get("node_ids") or []
@@ -241,6 +296,7 @@ class SessionProcessProjector:
                 main_run_id = str(payload.get("main_run_id") or "")
                 if main_run_id:
                     run_record = run_records.get(main_run_id)
+                    activated_skill_names = _activated_skill_names(run_record)
                     runs[main_run_id] = {
                         "run_id": main_run_id,
                         "parent_run_id": root_run_id,
@@ -254,8 +310,32 @@ class SessionProcessProjector:
                         "started_at": run_record.started_at if run_record is not None else created_at,
                         "finished_at": run_record.ended_at if run_record is not None else created_at,
                         "summary": _truncate(run_record.task_text if run_record is not None else ""),
-                        "metadata": {"task_id": task_id, "attempt_index": attempt_index},
+                        "metadata": {
+                            "task_id": task_id,
+                            "attempt_index": attempt_index,
+                            "skill_names": activated_skill_names,
+                        },
                     }
+                    if activated_skill_names:
+                        add_event(
+                            event_id=_event_id(record, "synthesis-skills"),
+                            run_id=main_run_id,
+                            parent_run_id=root_run_id,
+                            kind="skill_selected",
+                            actor_type="system",
+                            actor_id="skill-selector",
+                            actor_name="Skill Selector",
+                            text=f"Selected skill guidance: {', '.join(activated_skill_names)}.",
+                            created_at=created_at,
+                            status="done",
+                            metadata={
+                                "task_id": task_id,
+                                "attempt_index": attempt_index,
+                                "timeline_type": "skill",
+                                "skill_names": activated_skill_names,
+                                "activation_reasons": _activated_skill_reasons(run_record),
+                            },
+                        )
                     add_event(
                         event_id=_event_id(record, "synthesis"),
                         run_id=main_run_id,
@@ -335,3 +415,49 @@ def _truncate(text: str, limit: int = 800) -> str:
     if len(cleaned) <= limit:
         return cleaned
     return cleaned[: limit - 1] + "..."
+
+
+def _activated_skill_names(run_record: Any | None) -> list[str]:
+    if run_record is None:
+        return []
+    names = []
+    for receipt in getattr(run_record, "activated_skills", []) or []:
+        skill_name = str(getattr(receipt, "skill_name", "") or "").strip()
+        if skill_name:
+            names.append(skill_name)
+    return list(dict.fromkeys(names))
+
+
+def _activated_skill_reasons(run_record: Any | None) -> list[str]:
+    if run_record is None:
+        return []
+    reasons = []
+    for receipt in getattr(run_record, "activated_skills", []) or []:
+        reason = str(getattr(receipt, "activation_reason", "") or "").strip()
+        if reason:
+            reasons.append(reason)
+    return reasons
+
+
+def _tool_call_name(tool_call: dict[str, Any]) -> str:
+    function_payload = tool_call.get("function")
+    if isinstance(function_payload, dict):
+        name = function_payload.get("name")
+        if name:
+            return str(name)
+    for key in ("name", "tool_name"):
+        value = tool_call.get(key)
+        if value:
+            return str(value)
+    return "tool"
+
+
+def _tool_call_arguments(tool_call: dict[str, Any]) -> Any:
+    function_payload = tool_call.get("function")
+    if isinstance(function_payload, dict) and "arguments" in function_payload:
+        return function_payload.get("arguments")
+    if "arguments" in tool_call:
+        return tool_call.get("arguments")
+    if "args" in tool_call:
+        return tool_call.get("args")
+    return None

app-instance/backend/beaver/tools/builtins/web.py

@@ -51,7 +51,7 @@ class WebFetchTool:
         try:
             safe_url = _safe_url(url)
             limit = max(1000, min(int(max_chars or 12000), 50000))
-            async with httpx.AsyncClient(timeout=20, follow_redirects=True, trust_env=False) as client:
+            async with httpx.AsyncClient(timeout=20, follow_redirects=True, trust_env=True) as client:
                 response = await client.get(
                     safe_url,
                     headers={"User-Agent": "Mozilla/5.0 Beaver/1.0"},
@@ -96,7 +96,7 @@ class WebSearchTool:
                 raise ValueError("query is required")
             bounded = max(1, min(int(limit or 5), 10))
             url = f"https://duckduckgo.com/html/?q={quote_plus(query)}"
-            async with httpx.AsyncClient(timeout=20, follow_redirects=True, trust_env=False) as client:
+            async with httpx.AsyncClient(timeout=20, follow_redirects=True, trust_env=True) as client:
                 response = await client.get(url, headers={"User-Agent": "Mozilla/5.0 Beaver/1.0"})
             response.raise_for_status()
             html = response.text

app-instance/backend/tests/unit/test_agent_loop.py

@@ -0,0 +1,47 @@
+import asyncio
+from contextlib import suppress
+from typing import Any
+
+from beaver.engine import AgentLoop, AgentRunResult, EngineLoader
+
+
+def _run_result(run_id: str, output_text: str) -> AgentRunResult:
+    return AgentRunResult(
+        session_id="web:test",
+        run_id=run_id,
+        output_text=output_text,
+        finish_reason="stop",
+        tool_iterations=0,
+    )
+
+
+def test_running_loop_handles_reentrant_submit_direct(tmp_path) -> None:
+    async def run_case() -> None:
+        loop = AgentLoop(loader=EngineLoader(workspace=tmp_path))
+        calls: list[str] = []
+
+        async def fake_process_direct(task: str, **kwargs: Any) -> AgentRunResult:
+            calls.append(task)
+            if task == "outer":
+                return await loop.submit_direct("inner", session_id="web:test")
+            return _run_result(task, "inner completed")
+
+        loop._process_direct_impl = fake_process_direct  # type: ignore[method-assign]
+
+        loop_task = asyncio.create_task(loop.run())
+        await asyncio.sleep(0)
+        try:
+            result = await asyncio.wait_for(loop.submit_direct("outer", session_id="web:test"), timeout=1)
+        finally:
+            await loop.stop()
+            with suppress(asyncio.TimeoutError):
+                await asyncio.wait_for(loop_task, timeout=1)
+            if not loop_task.done():
+                loop_task.cancel()
+                with suppress(asyncio.CancelledError):
+                    await loop_task
+
+        assert result.output_text == "inner completed"
+        assert calls == ["outer", "inner"]
+
+    asyncio.run(run_case())

app-instance/backend/tests/unit/test_config_loader.py

@@ -1,10 +1,12 @@
 import json
 
+from fastapi.testclient import TestClient
+
 from beaver.engine import AgentLoop, EngineLoader
 from beaver.engine.providers import make_provider_bundle
 from beaver.engine.providers.litellm import LiteLLMProvider
 from beaver.foundation.config import load_config
-from beaver.interfaces.web.app import _reload_agent_config
+from beaver.interfaces.web.app import create_app, _reload_agent_config
 from beaver.services.agent_service import AgentService
 
 
@@ -161,6 +163,88 @@ def test_reload_agent_config_updates_booted_loop_config(tmp_path) -> None:
     service.close()
 
 
+def test_agent_defaults_include_runtime_controls(tmp_path) -> None:
+    config_path = tmp_path / "config.json"
+    config_path.write_text(
+        json.dumps(
+            {
+                "agents": {
+                    "defaults": {
+                        "maxTokens": 12345,
+                        "temperature": 0.4,
+                        "maxToolIterations": 9,
+                    }
+                }
+            }
+        ),
+        encoding="utf-8",
+    )
+
+    config = load_config(config_path=config_path)
+    service = AgentService(config_path=config_path)
+
+    assert config.agents_defaults.max_tokens == 12345
+    assert config.agents_defaults.temperature == 0.4
+    assert config.agents_defaults.max_tool_iterations == 9
+    assert service.profile.max_tokens == 12345
+    assert service.profile.temperature == 0.4
+    assert service.profile.max_tool_iterations == 9
+    service.close()
+
+
+def test_agent_config_api_persists_and_reloads_defaults(tmp_path) -> None:
+    config_path = tmp_path / "config.json"
+    config_path.write_text(json.dumps({"agents": {"defaults": {}}}), encoding="utf-8")
+    service = AgentService(config_path=config_path)
+    app = create_app(service=service, manage_service_lifecycle=False)
+
+    with TestClient(app) as client:
+        response = client.post(
+            "/api/agent-config",
+            json={"max_tokens": 8192, "temperature": 0.6, "max_tool_iterations": 12},
+        )
+        status = client.get("/api/status")
+
+    saved = json.loads(config_path.read_text(encoding="utf-8"))
+    defaults = saved["agents"]["defaults"]
+
+    assert response.status_code == 200
+    assert response.json() == {"ok": True}
+    assert defaults["maxTokens"] == 8192
+    assert defaults["temperature"] == 0.6
+    assert defaults["maxToolIterations"] == 12
+    assert service.profile.max_tokens == 8192
+    assert service.profile.temperature == 0.6
+    assert service.profile.max_tool_iterations == 12
+    assert status.json()["max_tokens"] == 8192
+    assert status.json()["temperature"] == 0.6
+    assert status.json()["max_tool_iterations"] == 12
+    service.close()
+
+
+def test_agent_config_api_accepts_zero_temperature_and_iterations(tmp_path) -> None:
+    config_path = tmp_path / "config.json"
+    service = AgentService(config_path=config_path)
+    app = create_app(service=service, manage_service_lifecycle=False)
+
+    with TestClient(app) as client:
+        response = client.post(
+            "/api/agent-config",
+            json={"max_tokens": None, "temperature": 0, "max_tool_iterations": 0},
+        )
+
+    config = load_config(config_path=config_path)
+
+    assert response.status_code == 200
+    assert config.agents_defaults.max_tokens is None
+    assert config.agents_defaults.temperature == 0
+    assert config.agents_defaults.max_tool_iterations == 0
+    assert service.profile.max_tokens is None
+    assert service.profile.temperature == 0
+    assert service.profile.max_tool_iterations == 0
+    service.close()
+
+
 def test_openai_compatible_qwen_config_keeps_openai_provider() -> None:
     bundle = make_provider_bundle(
         model="qwen-plus",

app-instance/backend/tests/unit/test_initial_skill_tool_hints.py

@@ -0,0 +1,58 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from beaver.engine import EngineLoader
+from beaver.skills.catalog.utils import parse_frontmatter
+
+
+REPO_ROOT = Path(__file__).resolve().parents[4]
+
+EXPECTED_INITIAL_SKILL_TOOLS = {
+    "cron-scheduler": ["cron"],
+    "filesystem-operation": ["read_file", "write_file", "patch_file", "search_files", "list_directory"],
+    "memory-management": ["memory"],
+    "outlook-mail": [
+        "mcp_outlook_mcp_mail_list_folders",
+        "mcp_outlook_mcp_mail_list_messages",
+        "mcp_outlook_mcp_mail_search_messages",
+        "mcp_outlook_mcp_mail_get_message",
+        "mcp_outlook_mcp_mail_send_email",
+        "mcp_outlook_mcp_mail_reply_to_message",
+        "mcp_outlook_mcp_mail_forward_message",
+        "mcp_outlook_mcp_mail_move_message",
+        "mcp_outlook_mcp_mail_delta_sync",
+        "mcp_outlook_mcp_calendar_list_events",
+        "mcp_outlook_mcp_calendar_create_event",
+        "mcp_outlook_mcp_calendar_update_event",
+        "mcp_outlook_mcp_calendar_get_schedule",
+        "mcp_outlook_mcp_calendar_find_meeting_times",
+        "mcp_outlook_mcp_calendar_delta_sync",
+    ],
+    "skills-admin": ["skills_list", "skill_manage", "skill_view"],
+    "terminal-operation": ["terminal", "process", "execute_code"],
+    "utility-tools": ["clarify", "delegate", "send_message", "spawn", "todo"],
+    "web-operation": ["web_fetch", "web_search"],
+}
+
+
+def test_initial_skill_tool_hints_match_runtime_tool_names() -> None:
+    for skill_name, expected_tools in EXPECTED_INITIAL_SKILL_TOOLS.items():
+        skill_dir = REPO_ROOT / "skills" / skill_name / "versions" / "v0001"
+        frontmatter, _body = parse_frontmatter((skill_dir / "SKILL.md").read_text(encoding="utf-8"))
+        version = json.loads((skill_dir / "version.json").read_text(encoding="utf-8"))
+
+        assert frontmatter["tools"] == expected_tools
+        assert version["frontmatter"]["tools"] == expected_tools
+        assert version["tool_hints"] == expected_tools
+
+
+def test_default_runtime_registers_skill_view_tool(tmp_path: Path) -> None:
+    loaded = EngineLoader(workspace=tmp_path).load()
+    try:
+        assert "skill_view" in loaded.tools
+        assert loaded.tool_registry is not None
+        assert loaded.tool_registry.get("skill_view") is not None
+    finally:
+        loaded.close()

app-instance/backend/tests/unit/test_max_tokens_defaults.py

@@ -0,0 +1,64 @@
+import asyncio
+from types import SimpleNamespace
+
+from beaver.engine.loop import AgentProfile
+from beaver.engine.providers.anthropic import AnthropicProvider
+from beaver.engine.providers.litellm import LiteLLMProvider
+
+
+def test_agent_profile_uses_provider_output_default() -> None:
+    assert AgentProfile().max_tokens is None
+
+
+def test_litellm_omits_max_tokens_when_unset(monkeypatch) -> None:
+    captured_kwargs: dict = {}
+
+    async def fake_acompletion(**kwargs):
+        captured_kwargs.update(kwargs)
+        return SimpleNamespace(
+            choices=[
+                SimpleNamespace(
+                    message=SimpleNamespace(content="ok", tool_calls=[]),
+                    finish_reason="stop",
+                )
+            ],
+            usage=None,
+        )
+
+    monkeypatch.setattr("beaver.engine.providers.litellm.acompletion", fake_acompletion)
+
+    async def run_case():
+        provider = LiteLLMProvider(default_model="openai/gpt-test")
+        return await provider.chat(messages=[{"role": "user", "content": "hi"}], max_tokens=None)
+
+    response = asyncio.run(run_case())
+
+    assert response.content == "ok"
+    assert "max_tokens" not in captured_kwargs
+
+
+def test_anthropic_uses_model_output_ceiling_when_unset(monkeypatch) -> None:
+    captured_kwargs: dict = {}
+
+    class FakeMessages:
+        async def create(self, **kwargs):
+            captured_kwargs.update(kwargs)
+            return SimpleNamespace(
+                content=[SimpleNamespace(type="text", text="ok")],
+                usage=None,
+                stop_reason="stop",
+            )
+
+    class FakeClient:
+        messages = FakeMessages()
+
+    monkeypatch.setattr(AnthropicProvider, "_client_or_raise", lambda self: FakeClient())
+
+    async def run_case():
+        provider = AnthropicProvider(default_model="claude-sonnet-4-5")
+        return await provider.chat(messages=[{"role": "user", "content": "hi"}], max_tokens=None)
+
+    response = asyncio.run(run_case())
+
+    assert response.content == "ok"
+    assert captured_kwargs["max_tokens"] == 64_000

app-instance/backend/tests/unit/test_process_projection.py

@@ -5,6 +5,7 @@ from pathlib import Path
 from beaver.engine.session import SessionManager
 from beaver.memory.runs import RunMemoryStore, RunRecord
 from beaver.services.process_service import SessionProcessProjector
+from beaver.skills.specs import SkillActivationReceipt
 
 
 def test_process_projection_maps_task_team_events(tmp_path: Path) -> None:
@@ -238,6 +239,130 @@ def test_process_projection_uses_normalized_plan_metadata_defaults(tmp_path: Pat
     assert planned_event["metadata"]["strategy"] == "single"
 
 
+def test_process_projection_emits_skill_card_from_main_run_receipts(tmp_path: Path) -> None:
+    session = SessionManager(tmp_path)
+    run_store = RunMemoryStore(tmp_path / "memory" / "runs")
+    run_store.append_run_record(
+        RunRecord(
+            run_id="main-run",
+            session_id="web:test",
+            task_id="task-1",
+            attempt_index=1,
+            task_text="main task",
+            started_at="2026-01-01T00:00:03+00:00",
+            ended_at="2026-01-01T00:00:04+00:00",
+            success=True,
+            finish_reason="stop",
+            activated_skills=[
+                SkillActivationReceipt(
+                    run_id="main-run",
+                    session_id="web:test",
+                    skill_name="web-operation",
+                    skill_version="1",
+                    content_hash="hash",
+                    activated_at="2026-01-01T00:00:03+00:00",
+                    activation_reason="Needs live web lookup.",
+                )
+            ],
+        )
+    )
+    session.append_message(
+        "web:test",
+        role="system",
+        event_type="task_execution_planned",
+        event_payload={
+            "task_id": "task-1",
+            "attempt_index": 1,
+            "plan_mode": "single",
+            "strategy": "single",
+            "selected_skill_names": [],
+        },
+        context_visible=False,
+    )
+    session.append_message(
+        "web:test",
+        role="system",
+        event_type="task_synthesis_completed",
+        event_payload={"task_id": "task-1", "attempt_index": 1, "main_run_id": "main-run"},
+        context_visible=False,
+    )
+
+    projection = SessionProcessProjector(session, run_store).project("web:test")
+
+    skill_events = [
+        event
+        for event in projection["events"]
+        if event["kind"] == "skill_selected" and event["run_id"] == "main-run"
+    ]
+    assert skill_events
+    assert skill_events[0]["metadata"]["timeline_type"] == "skill"
+    assert skill_events[0]["metadata"]["skill_names"] == ["web-operation"]
+
+
+def test_process_projection_emits_tool_cards_from_run_messages(tmp_path: Path) -> None:
+    session = SessionManager(tmp_path)
+    run_store = RunMemoryStore(tmp_path / "memory" / "runs")
+    run_store.append_run_record(
+        RunRecord(
+            run_id="main-run",
+            session_id="web:test",
+            task_id="task-1",
+            attempt_index=1,
+            task_text="main task",
+            started_at="2026-01-01T00:00:03+00:00",
+            ended_at="2026-01-01T00:00:04+00:00",
+            success=True,
+            finish_reason="stop",
+        )
+    )
+    session.append_message(
+        "web:test",
+        role="system",
+        event_type="task_execution_planned",
+        event_payload={"task_id": "task-1", "attempt_index": 1},
+        context_visible=False,
+    )
+    session.append_message(
+        "web:test",
+        run_id="main-run",
+        role="assistant",
+        event_type="assistant_message_added",
+        event_payload={"task_id": "task-1"},
+        content="Searching",
+        tool_calls=[
+            {
+                "id": "call-1",
+                "name": "multi_search",
+                "arguments": {"query": "Macau cafe near Bóvia"},
+            }
+        ],
+        context_visible=False,
+    )
+    session.append_message(
+        "web:test",
+        run_id="main-run",
+        role="tool",
+        event_type="tool_result_recorded",
+        event_payload={"success": True, "error": None},
+        content="Found 3 restaurants",
+        tool_name="multi_search",
+        tool_call_id="call-1",
+        context_visible=True,
+    )
+
+    projection = SessionProcessProjector(session, run_store).project("web:test")
+
+    tool_call = next(event for event in projection["events"] if event["kind"] == "tool_call_started")
+    assert tool_call["metadata"]["timeline_type"] == "tool_call"
+    assert tool_call["metadata"]["tool_name"] == "multi_search"
+    assert tool_call["run_id"] == "main-run"
+
+    tool_result = next(event for event in projection["events"] if event["kind"] == "tool_call_finished")
+    assert tool_result["metadata"]["timeline_type"] == "tool_result"
+    assert tool_result["metadata"]["tool_name"] == "multi_search"
+    assert tool_result["metadata"]["success"] is True
+
+
 def test_process_projection_exposes_ephemeral_guidance_artifacts(tmp_path: Path) -> None:
     session = SessionManager(tmp_path)
     run_store = RunMemoryStore(tmp_path / "memory" / "runs")

app-instance/backend/tests/unit/test_web_tools.py

@@ -0,0 +1,44 @@
+from __future__ import annotations
+
+import asyncio
+
+from beaver.tools.builtins import web
+
+
+class _FakeResponse:
+    headers = {"content-type": "text/html"}
+    status_code = 200
+    text = '<a class="result__a" href="https://example.com">Example</a>'
+    url = "https://example.com"
+
+    def raise_for_status(self) -> None:
+        return None
+
+
+class _FakeAsyncClient:
+    calls: list[dict[str, object]] = []
+
+    def __init__(self, **kwargs: object) -> None:
+        self.calls.append(kwargs)
+
+    async def __aenter__(self) -> "_FakeAsyncClient":
+        return self
+
+    async def __aexit__(self, *args: object) -> None:
+        return None
+
+    async def get(self, *args: object, **kwargs: object) -> _FakeResponse:
+        return _FakeResponse()
+
+
+def test_web_tools_use_environment_proxy_settings(monkeypatch) -> None:
+    _FakeAsyncClient.calls = []
+    monkeypatch.setattr(web.httpx, "AsyncClient", _FakeAsyncClient)
+
+    async def _run() -> None:
+        await web.WebFetchTool().execute(url="https://example.com")
+        await web.WebSearchTool().execute(query="example")
+
+    asyncio.run(_run())
+
+    assert [call.get("trust_env") for call in _FakeAsyncClient.calls] == [True, True]

app-instance/frontend/app/(app)/status/page.tsx

@@ -15,7 +15,7 @@ import {
   Settings2,
   ScrollText,
 } from 'lucide-react';
-import { getStatus, updateProviderConfig } from '@/lib/api';
+import { getStatus, updateAgentConfig, updateProviderConfig } from '@/lib/api';
 import { Button } from '@/components/ui/button';
 import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
 import { Badge } from '@/components/ui/badge';
@@ -42,6 +42,12 @@ type ProviderFormState = {
   requestTimeoutSeconds: string;
 };
 
+type AgentFormState = {
+  maxTokens: string;
+  temperature: string;
+  maxToolIterations: string;
+};
+
 export default function StatusPage() {
   const { locale } = useAppI18n();
   const [status, setStatus] = useState<SystemStatus | null>(null);
@@ -57,6 +63,13 @@ export default function StatusPage() {
   }));
   const [savingProvider, setSavingProvider] = useState(false);
   const [providerError, setProviderError] = useState<string | null>(null);
+  const [agentForm, setAgentForm] = useState<AgentFormState>(() => ({
+    maxTokens: '',
+    temperature: '0.2',
+    maxToolIterations: '30',
+  }));
+  const [savingAgent, setSavingAgent] = useState(false);
+  const [agentError, setAgentError] = useState<string | null>(null);
 
   const loadStatus = async () => {
     setLoading(true);
@@ -64,6 +77,11 @@ export default function StatusPage() {
     try {
       const data = await getStatus();
       setStatus(data);
+      setAgentForm({
+        maxTokens: data.max_tokens == null ? '' : String(data.max_tokens),
+        temperature: String(data.temperature),
+        maxToolIterations: String(data.max_tool_iterations),
+      });
     } catch (err: any) {
       setError(err.message || pickAppText(locale, '连接后端失败', 'Failed to connect to the backend'));
     } finally {
@@ -115,6 +133,39 @@ export default function StatusPage() {
     }
   };
 
+  const handleSaveAgentConfig = async () => {
+    setSavingAgent(true);
+    setAgentError(null);
+    try {
+      const maxTokensText = agentForm.maxTokens.trim();
+      const maxTokens = maxTokensText ? Number(maxTokensText) : null;
+      const temperature = Number(agentForm.temperature.trim());
+      const maxToolIterations = Number(agentForm.maxToolIterations.trim());
+      if (
+        maxTokens !== null &&
+        (!Number.isInteger(maxTokens) || maxTokens <= 0)
+      ) {
+        throw new Error(pickAppText(locale, '最大令牌数必须为空或正整数', 'Max tokens must be blank or a positive integer'));
+      }
+      if (!Number.isFinite(temperature) || temperature < 0 || temperature > 2) {
+        throw new Error(pickAppText(locale, '温度必须在 0 到 2 之间', 'Temperature must be between 0 and 2'));
+      }
+      if (!Number.isInteger(maxToolIterations) || maxToolIterations < 0) {
+        throw new Error(pickAppText(locale, '最大工具迭代次数必须是非负整数', 'Max tool iterations must be a non-negative integer'));
+      }
+      await updateAgentConfig({
+        max_tokens: maxTokens,
+        temperature,
+        max_tool_iterations: maxToolIterations,
+      });
+      await loadStatus();
+    } catch (err: any) {
+      setAgentError(err.message || pickAppText(locale, '保存智能体配置失败', 'Failed to save agent configuration'));
+    } finally {
+      setSavingAgent(false);
+    }
+  };
+
   if (loading) {
     return (
       <div className="flex items-center justify-center py-20">
@@ -207,14 +258,47 @@ export default function StatusPage() {
             {pickAppText(locale, '智能体配置', 'Agent configuration')}
           </CardTitle>
         </CardHeader>
-        <CardContent className="space-y-3">
+        <CardContent className="space-y-5">
           <InfoRow label={pickAppText(locale, '模型', 'Model')} value={status.model} />
-          <InfoRow label={pickAppText(locale, '最大令牌数', 'Max tokens')} value={String(status.max_tokens)} />
-          <InfoRow label={pickAppText(locale, '温度', 'Temperature')} value={String(status.temperature)} />
-          <InfoRow
-            label={pickAppText(locale, '最大工具迭代次数', 'Max tool iterations')}
-            value={String(status.max_tool_iterations)}
-          />
+          <div className="grid gap-4 border-t pt-5 md:grid-cols-3">
+            <div className="grid gap-2">
+              <Label htmlFor="agent-max-tokens">{pickAppText(locale, '最大令牌数', 'Max tokens')}</Label>
+              <Input
+                id="agent-max-tokens"
+                inputMode="numeric"
+                value={agentForm.maxTokens}
+                onChange={(event) => setAgentForm((prev) => ({ ...prev, maxTokens: event.target.value }))}
+                placeholder={pickAppText(locale, '模型默认', 'Model default')}
+              />
+            </div>
+            <div className="grid gap-2">
+              <Label htmlFor="agent-temperature">{pickAppText(locale, '温度', 'Temperature')}</Label>
+              <Input
+                id="agent-temperature"
+                inputMode="decimal"
+                value={agentForm.temperature}
+                onChange={(event) => setAgentForm((prev) => ({ ...prev, temperature: event.target.value }))}
+              />
+            </div>
+            <div className="grid gap-2">
+              <Label htmlFor="agent-max-tool-iterations">
+                {pickAppText(locale, '最大工具迭代次数', 'Max tool iterations')}
+              </Label>
+              <Input
+                id="agent-max-tool-iterations"
+                inputMode="numeric"
+                value={agentForm.maxToolIterations}
+                onChange={(event) => setAgentForm((prev) => ({ ...prev, maxToolIterations: event.target.value }))}
+              />
+            </div>
+          </div>
+          <div className="flex flex-col gap-3 sm:flex-row sm:items-center sm:justify-between">
+            <div className="text-sm text-destructive">{agentError || ''}</div>
+            <Button onClick={handleSaveAgentConfig} disabled={savingAgent} className="sm:self-end">
+              {savingAgent ? <Loader2 className="mr-2 h-4 w-4 animate-spin" /> : null}
+              {pickAppText(locale, '保存智能体配置', 'Save agent config')}
+            </Button>
+          </div>
         </CardContent>
       </Card>
 

app-instance/frontend/app/(app)/tasks/[taskId]/page.tsx

@@ -6,7 +6,6 @@ import React, { useMemo, useState } from 'react';
 import { AlertCircle, ArrowLeft, Loader2, Trash2 } from 'lucide-react';
 
 import {
-  TaskAcceptanceCard,
   TaskLiveHeader,
   TaskSideRail,
   TaskTimeline,
@@ -19,10 +18,12 @@ import { deleteBackendTask, getBackendTask, submitChatFeedback } from '@/lib/api
 import { pickAppText } from '@/lib/i18n/core';
 import { useAppI18n } from '@/lib/i18n/provider';
 import { useChatStore } from '@/lib/store';
+import { shouldPollTaskDetail, taskDetailDurationMs } from '@/lib/task-detail-refresh';
 import { buildTaskTimelineCards } from '@/lib/task-timeline';
 import type { BackendTask } from '@/types';
 
 const TERMINAL_TASK_STATUSES = new Set(['closed', 'abandoned', 'cancelled', 'error']);
+const TASK_RESULT_REVIEW_ID = 'task-result-review';
 
 export default function TaskDetailPage() {
   const { locale } = useAppI18n();
@@ -81,12 +82,12 @@ export default function TaskDetailPage() {
   const isTaskLive = backendTask ? !TERMINAL_TASK_STATUSES.has(backendTask.status) : false;
 
   React.useEffect(() => {
-    if (!isTaskLive || wsStatus === 'connected') return;
+    if (!shouldPollTaskDetail(backendTask)) return;
     const id = window.setInterval(() => {
       void loadBackendTask();
     }, 4000);
     return () => window.clearInterval(id);
-  }, [isTaskLive, loadBackendTask, wsStatus]);
+  }, [backendTask, loadBackendTask]);
 
   const taskRunIds = useMemo(() => {
     const ids = new Set<string>();
@@ -129,7 +130,7 @@ export default function TaskDetailPage() {
 
   const activeLabel =
     [...timelineCards].reverse().find((card) => !['acceptance', 'task_created'].includes(card.type))?.title ?? '-';
-  const durationMs = backendTask ? taskDurationMs(backendTask) : null;
+  const durationMs = backendTask ? taskDetailDurationMs(backendTask) : null;
   const feedbackRunId = backendTask ? pickFeedbackRunId(backendTask) : null;
 
   const runAction = async (key: string, action: () => Promise<unknown>) => {
@@ -161,7 +162,7 @@ export default function TaskDetailPage() {
 
     return (
       <div className="min-h-screen bg-background">
-        <TaskLiveHeader task={backendTask} activeLabel={activeLabel} durationMs={durationMs} />
+        <TaskLiveHeader task={backendTask} activeLabel={activeLabel} durationMs={durationMs} reviewTargetId={TASK_RESULT_REVIEW_ID} />
 
         <main className="mx-auto grid max-w-7xl gap-6 p-6 xl:grid-cols-[minmax(0,1fr)_360px]">
           <div className="space-y-4">
@@ -187,30 +188,32 @@ export default function TaskDetailPage() {
               </Card>
             ) : null}
 
-            <TaskTimeline cards={timelineCards} isLive={isTaskLive && wsStatus === 'connected'} />
-
-            <TaskAcceptanceCard
-              sessionId={backendTask.session_id}
-              runId={feedbackRunId}
-              taskStatus={backendTask.status}
-              feedbackItems={feedbackItems as TaskFeedbackItem[]}
-              actionBusy={actionBusy}
-              revision={revision}
-              onRevisionChange={setRevision}
-              onSubmit={(feedbackType: TaskFeedbackType, comment?: string) =>
-                runAction(`backend-feedback-${feedbackType}`, async () => {
-                  if (!feedbackRunId) throw new Error(pickAppText(locale, '暂无可验收的运行记录。', 'No run is available for acceptance yet.'));
-                  await submitChatFeedback({
-                    sessionId: backendTask.session_id,
-                    runId: feedbackRunId,
-                    feedbackType,
-                    comment,
-                  });
-                  updateMessageFeedback(feedbackRunId, feedbackType);
-                  setRevision('');
-                  await loadBackendTask();
-                })
-              }
+            <TaskTimeline
+              cards={timelineCards}
+              isLive={isTaskLive && wsStatus === 'connected'}
+              reviewTargetId={TASK_RESULT_REVIEW_ID}
+              resultAcceptance={{
+                sessionId: backendTask.session_id,
+                runId: feedbackRunId,
+                taskStatus: backendTask.status,
+                feedbackItems: feedbackItems as TaskFeedbackItem[],
+                actionBusy,
+                revision,
+                onRevisionChange: setRevision,
+                onSubmit: (feedbackType: TaskFeedbackType, comment?: string) =>
+                  runAction(`backend-feedback-${feedbackType}`, async () => {
+                    if (!feedbackRunId) throw new Error(pickAppText(locale, '暂无可验收的运行记录。', 'No run is available for acceptance yet.'));
+                    await submitChatFeedback({
+                      sessionId: backendTask.session_id,
+                      runId: feedbackRunId,
+                      feedbackType,
+                      comment,
+                    });
+                    updateMessageFeedback(feedbackRunId, feedbackType);
+                    setRevision('');
+                    await loadBackendTask();
+                  }),
+              }}
             />
           </div>
 
@@ -252,10 +255,3 @@ function pickFeedbackRunId(task: BackendTask): string | null {
   if (runs.length > 0) return runs[runs.length - 1].run_id;
   return null;
 }
-
-function taskDurationMs(task: BackendTask): number | null {
-  const start = new Date(task.created_at).getTime();
-  const end = new Date(task.closed_at || task.updated_at).getTime();
-  if (!Number.isFinite(start) || !Number.isFinite(end)) return null;
-  return Math.max(0, end - start);
-}

app-instance/frontend/components/task-detail/TaskAcceptanceCard.tsx

@@ -113,19 +113,6 @@ export function TaskAcceptanceCard({
   onSubmit,
 }: Props) {
   const { locale } = useAppI18n();
-  const [localComment, setLocalComment] = React.useState('');
-  const comment = revision ?? localComment;
-  const setComment = onRevisionChange ?? setLocalComment;
-  const isFinalized = taskStatus === 'closed' || taskStatus === 'abandoned';
-  const isReadyForAcceptance = READY_FOR_ACCEPTANCE_STATUSES.has(taskStatus);
-  const recordedFeedback = feedbackForRun(feedbackItems, runId) ?? (isFinalized ? latestFeedback(feedbackItems) : null);
-  const canSubmit = Boolean(runId) && !recordedFeedback && !isFinalized && isReadyForAcceptance && !actionBusy;
-  const trimmedComment = comment.trim();
-
-  const submit = (feedbackType: TaskFeedbackType, nextComment?: string) => {
-    if (!runId || !canSubmit) return;
-    void onSubmit(feedbackType, nextComment);
-  };
 
   return (
     <Card>
@@ -141,7 +128,49 @@ export function TaskAcceptanceCard({
           )}
         </div>
       </CardHeader>
-      <CardContent className="space-y-4">
+      <CardContent>
+        <TaskAcceptanceControls
+          sessionId={sessionId}
+          runId={runId}
+          taskStatus={taskStatus}
+          feedbackItems={feedbackItems}
+          actionBusy={actionBusy}
+          revision={revision}
+          onRevisionChange={onRevisionChange}
+          onSubmit={onSubmit}
+        />
+      </CardContent>
+    </Card>
+  );
+}
+
+export function TaskAcceptanceControls({
+  sessionId,
+  runId,
+  taskStatus,
+  feedbackItems,
+  actionBusy,
+  revision,
+  onRevisionChange,
+  onSubmit,
+}: Props) {
+  const { locale } = useAppI18n();
+  const [localComment, setLocalComment] = React.useState('');
+  const comment = revision ?? localComment;
+  const setComment = onRevisionChange ?? setLocalComment;
+  const isFinalized = taskStatus === 'closed' || taskStatus === 'abandoned';
+  const isReadyForAcceptance = READY_FOR_ACCEPTANCE_STATUSES.has(taskStatus);
+  const recordedFeedback = feedbackForRun(feedbackItems, runId) ?? (isFinalized ? latestFeedback(feedbackItems) : null);
+  const canSubmit = Boolean(runId) && !recordedFeedback && !isFinalized && isReadyForAcceptance && !actionBusy;
+  const trimmedComment = comment.trim();
+
+  const submit = (feedbackType: TaskFeedbackType, nextComment?: string) => {
+    if (!runId || !canSubmit) return;
+    void onSubmit(feedbackType, nextComment);
+  };
+
+  return (
+    <div className="space-y-4">
         {recordedFeedback ? (
           <div className="rounded-md border border-border bg-muted/25 p-3 text-sm">
             <div className="flex items-center gap-2 font-medium">
@@ -207,7 +236,6 @@ export function TaskAcceptanceCard({
           {pickAppText(locale, '会话：', 'Session: ')}
           <span className="font-mono">{sessionId}</span>
         </div>
-      </CardContent>
-    </Card>
+      </div>
   );
 }

app-instance/frontend/components/task-detail/TaskLiveHeader.tsx

@@ -1,7 +1,7 @@
 'use client';
 
 import Link from 'next/link';
-import { ArrowLeft, MessageSquare } from 'lucide-react';
+import { ArrowLeft, CheckCircle2, MessageSquare } from 'lucide-react';
 
 import { TaskRuntimeStatusBadge, formatTaskRuntimeDuration, formatTaskRuntimeTime } from '@/components/task-runtime/TaskRuntimeShared';
 import { Badge } from '@/components/ui/badge';
@@ -15,6 +15,7 @@ type Props = {
   task: BackendTask;
   activeLabel: string;
   durationMs: number | null;
+  reviewTargetId?: string;
 };
 
 const RUNTIME_STATUSES = new Set<string>(['queued', 'running', 'waiting', 'blocked', 'done', 'error', 'cancelled']);
@@ -36,9 +37,10 @@ function humanTaskStatus(status: string, locale: 'zh-CN' | 'en-US') {
   return item ? pickAppText(locale, item[0], item[1]) : status;
 }
 
-export function TaskLiveHeader({ task, activeLabel, durationMs }: Props) {
+export function TaskLiveHeader({ task, activeLabel, durationMs, reviewTargetId }: Props) {
   const { locale } = useAppI18n();
   const title = task.short_title || String(task.metadata?.short_title || '') || task.description || task.goal || task.task_id;
+  const showReviewLink = Boolean(reviewTargetId && ['awaiting_acceptance', 'needs_revision'].includes(task.status));
 
   return (
     <header className="sticky top-0 z-20 border-b border-border bg-background/95 backdrop-blur supports-[backdrop-filter]:bg-background/80">
@@ -67,6 +69,14 @@ export function TaskLiveHeader({ task, activeLabel, durationMs }: Props) {
               </Badge>
             )}
             {activeLabel ? <Badge variant="secondary">{activeLabel}</Badge> : null}
+            {showReviewLink ? (
+              <Button asChild variant="default" size="sm">
+                <a href={`#${reviewTargetId}`}>
+                  <CheckCircle2 className="mr-2 h-4 w-4" />
+                  {pickAppText(locale, '验收', 'Review')}
+                </a>
+              </Button>
+            ) : null}
           </div>
         </div>
 

app-instance/frontend/components/task-detail/TaskSideRail.tsx

@@ -34,11 +34,28 @@ function humanTaskStatus(status: string, locale: 'zh-CN' | 'en-US') {
     needs_revision: ['需要修改', 'Needs revision'],
     closed: ['已完成', 'Closed'],
     abandoned: ['已放弃', 'Abandoned'],
+    accept: ['已接受', 'Accepted'],
+    satisfied: ['已接受', 'Accepted'],
+    revise: ['已请求修改', 'Revision requested'],
+    abandon: ['已放弃', 'Abandoned'],
   };
   const item = map[status];
   return item ? pickAppText(locale, item[0], item[1]) : status;
 }
 
+function latestFeedback(task: BackendTask): Record<string, unknown> | null {
+  return [...(task.feedback ?? [])].reverse()[0] ?? null;
+}
+
+function acceptanceState(task: BackendTask, locale: 'zh-CN' | 'en-US'): string {
+  const feedback = latestFeedback(task);
+  const kind = String(feedback?.acceptance_type || feedback?.feedback_type || '');
+  if (kind) return humanTaskStatus(kind, locale);
+  if (task.status === 'awaiting_acceptance') return pickAppText(locale, '等待验收', 'Awaiting acceptance');
+  if (task.status === 'needs_revision') return pickAppText(locale, '等待修改', 'Awaiting revision');
+  return pickAppText(locale, '未验收', 'No acceptance yet');
+}
+
 function toTime(value: string): number {
   const parsed = new Date(value).getTime();
   return Number.isFinite(parsed) ? parsed : 0;
@@ -135,6 +152,9 @@ export function TaskSideRail({ task, runs, artifacts, cards }: Props) {
           <div className="text-xs text-muted-foreground">
             {pickAppText(locale, '更新', 'Updated')}: {formatTaskRuntimeTime(task.updated_at, locale)}
           </div>
+          <div className="text-xs text-muted-foreground">
+            {pickAppText(locale, '验收', 'Acceptance')}: {acceptanceState(task, locale)}
+          </div>
         </CardContent>
       </Card>
 

app-instance/frontend/components/task-detail/TaskTimeline.tsx

@@ -7,14 +7,16 @@ import { pickAppText } from '@/lib/i18n/core';
 import { useAppI18n } from '@/lib/i18n/provider';
 import type { TaskTimelineCard as TaskTimelineCardView } from '@/types';
 
-import { TaskTimelineCard } from './TaskTimelineCard';
+import { TaskTimelineCard, type TaskResultAcceptance } from './TaskTimelineCard';
 
 type Props = {
   cards: TaskTimelineCardView[];
   isLive: boolean;
+  resultAcceptance?: TaskResultAcceptance;
+  reviewTargetId?: string;
 };
 
-export function TaskTimeline({ cards, isLive }: Props) {
+export function TaskTimeline({ cards, isLive, resultAcceptance, reviewTargetId }: Props) {
   const { locale } = useAppI18n();
 
   return (
@@ -42,7 +44,7 @@ export function TaskTimeline({ cards, isLive }: Props) {
       ) : (
         <div className="space-y-3">
           {cards.map((card) => (
-            <TaskTimelineCard key={card.id} card={card} />
+            <TaskTimelineCard key={card.id} card={card} resultAcceptance={resultAcceptance} reviewTargetId={reviewTargetId} />
           ))}
         </div>
       )}

app-instance/frontend/components/task-detail/TaskTimelineCard.tsx

@@ -6,8 +6,10 @@ import {
   Bot,
   CheckCircle2,
   ClipboardList,
+  ChevronDown,
   FileText,
   GitBranch,
+  History,
   ListChecks,
   Sparkles,
   TerminalSquare,
@@ -24,8 +26,23 @@ import { useAppI18n } from '@/lib/i18n/provider';
 import type { TaskRuntimeStatus } from '@/lib/task-runtime';
 import type { TaskTimelineCard as TaskTimelineCardView, TaskTimelineCardType } from '@/types';
 
+import { TaskAcceptanceControls, type TaskFeedbackItem, type TaskFeedbackType } from './TaskAcceptanceCard';
+
 type Props = {
   card: TaskTimelineCardView;
+  resultAcceptance?: TaskResultAcceptance;
+  reviewTargetId?: string;
+};
+
+export type TaskResultAcceptance = {
+  sessionId: string;
+  runId: string | null;
+  taskStatus: string;
+  feedbackItems: TaskFeedbackItem[];
+  actionBusy: string | null;
+  revision?: string;
+  onRevisionChange?: (value: string) => void;
+  onSubmit: (feedbackType: TaskFeedbackType, comment?: string) => Promise<unknown>;
 };
 
 const RUNTIME_STATUSES = new Set<string>(['queued', 'running', 'waiting', 'blocked', 'done', 'error', 'cancelled']);
@@ -60,6 +77,8 @@ function iconForType(type: TaskTimelineCardType) {
       return AlertTriangle;
     case 'result':
       return CheckCircle2;
+    case 'result_history':
+      return History;
     case 'acceptance':
       return ThumbsUp;
   }
@@ -87,6 +106,7 @@ function cardTypeLabel(type: TaskTimelineCardType, locale: 'zh-CN' | 'en-US') {
     artifact: ['产物', 'Artifact'],
     error: ['异常', 'Error'],
     result: ['结果', 'Result'],
+    result_history: ['历史结果', 'Result history'],
     acceptance: ['验收', 'Acceptance'],
   };
   const label = labels[type];
@@ -111,12 +131,57 @@ function humanStatus(status: string, locale: 'zh-CN' | 'en-US') {
   return label ? pickAppText(locale, label[0], label[1]) : status;
 }
 
-export function TaskTimelineCard({ card }: Props) {
+function historyVersions(details: Record<string, unknown> | undefined): Array<Record<string, unknown>> {
+  const versions = details?.versions;
+  return Array.isArray(versions) ? versions.filter((item): item is Record<string, unknown> => Boolean(item) && typeof item === 'object') : [];
+}
+
+function renderHistoryStatus(version: Record<string, unknown>, locale: 'zh-CN' | 'en-US') {
+  const status = String(version.acceptanceType || version.status || '');
+  return status ? humanStatus(status, locale) : pickAppText(locale, '历史版本', 'Previous version');
+}
+
+function TaskResultHistory({ card }: { card: TaskTimelineCardView }) {
   const { locale } = useAppI18n();
-  const Icon = iconForType(card.type);
+  const versions = historyVersions(card.details);
 
   return (
-    <Card className="rounded-md">
+    <details className="mt-3 rounded-md border border-border bg-muted/20 px-3 py-2 text-sm">
+      <summary className="flex cursor-pointer select-none items-center justify-between gap-3 font-medium">
+        <span>{pickAppText(locale, '展开历史版本', 'Show previous versions')}</span>
+        <ChevronDown className="h-4 w-4 text-muted-foreground" />
+      </summary>
+      <div className="mt-3 space-y-3">
+        {versions.map((version, index) => (
+          <div key={String(version.runId || index)} className="rounded-md border border-border bg-background p-3">
+            <div className="flex flex-wrap items-center justify-between gap-2">
+              <div className="text-sm font-medium">
+                {pickAppText(locale, `第 ${index + 1} 轮结果`, `Version ${index + 1}`)}
+              </div>
+              <Badge variant="outline" className="text-[11px]">
+                {renderHistoryStatus(version, locale)}
+              </Badge>
+            </div>
+            {version.result ? <p className="mt-2 whitespace-pre-wrap text-sm leading-6 text-muted-foreground">{String(version.result)}</p> : null}
+            {version.comment ? (
+              <div className="mt-3 rounded-md bg-muted/35 p-2 text-xs text-muted-foreground">
+                {pickAppText(locale, '修改意见', 'Revision note')}: {String(version.comment)}
+              </div>
+            ) : null}
+          </div>
+        ))}
+      </div>
+    </details>
+  );
+}
+
+export function TaskTimelineCard({ card, resultAcceptance, reviewTargetId }: Props) {
+  const { locale } = useAppI18n();
+  const Icon = iconForType(card.type);
+  const shouldRenderResultAcceptance = Boolean(card.type === 'result' && resultAcceptance && card.runId === resultAcceptance.runId);
+
+  return (
+    <Card id={shouldRenderResultAcceptance ? reviewTargetId : undefined} className="rounded-md scroll-mt-28">
       <CardContent className="p-4">
         <div className="flex gap-3">
           <div className="flex h-9 w-9 shrink-0 items-center justify-center rounded-md bg-muted">
@@ -150,7 +215,13 @@ export function TaskTimelineCard({ card }: Props) {
 
             {card.summary ? <p className="mt-3 whitespace-pre-wrap text-sm leading-6 text-muted-foreground">{card.summary}</p> : null}
 
-            {card.details ? (
+            {shouldRenderResultAcceptance ? (
+              <div className="mt-4 border-t border-border pt-4">
+                <TaskAcceptanceControls {...resultAcceptance!} />
+              </div>
+            ) : null}
+
+            {card.type === 'result_history' ? <TaskResultHistory card={card} /> : card.details ? (
               <details className="mt-3 rounded-md border border-border bg-muted/20 px-3 py-2 text-xs">
                 <summary className="cursor-pointer select-none font-medium text-muted-foreground">
                   {pickAppText(locale, '详情 JSON', 'Details JSON')}

app-instance/frontend/lib/api.ts

@@ -4,6 +4,7 @@ import type {
   AuthzStatus,
   AuthUser,
   ActiveTask,
+  AgentConfigPayload,
   ChatLogsResponse,
   BackendTask,
   ChatMessage,
@@ -620,6 +621,13 @@ export async function getStatus(): Promise<SystemStatus> {
   return fetchJSON('/api/status');
 }
 
+export async function updateAgentConfig(payload: AgentConfigPayload): Promise<{ ok: boolean }> {
+  return fetchJSON('/api/agent-config', {
+    method: 'POST',
+    body: JSON.stringify(payload),
+  });
+}
+
 export async function updateProviderConfig(
   providerId: string,
   payload: ProviderConfigPayload

app-instance/frontend/lib/task-detail-refresh.test.ts

@@ -0,0 +1,37 @@
+import { describe, expect, it, vi } from 'vitest';
+
+import { shouldPollTaskDetail, taskDetailDurationMs } from '@/lib/task-detail-refresh';
+import type { BackendTask } from '@/types';
+
+const baseTask: BackendTask = {
+  task_id: 'task-1',
+  session_id: 'web:test',
+  description: '查找餐厅',
+  goal: '查找餐厅',
+  constraints: [],
+  priority: 0,
+  status: 'running',
+  creator: 'main-agent',
+  created_at: '2026-05-27T02:02:41.000Z',
+  updated_at: '2026-05-27T02:02:41.500Z',
+  run_ids: [],
+  skill_names: [],
+  feedback: [],
+  metadata: {},
+};
+
+describe('task detail refresh helpers', () => {
+  it('polls executing task details regardless of websocket status', () => {
+    expect(shouldPollTaskDetail({ ...baseTask, status: 'running' })).toBe(true);
+    expect(shouldPollTaskDetail({ ...baseTask, status: 'open' })).toBe(true);
+    expect(shouldPollTaskDetail({ ...baseTask, status: 'awaiting_acceptance' })).toBe(false);
+    expect(shouldPollTaskDetail({ ...baseTask, status: 'closed' })).toBe(false);
+  });
+
+  it('uses current time for active task duration instead of stale updated_at', () => {
+    vi.setSystemTime(new Date('2026-05-27T02:03:41.000Z'));
+
+    expect(taskDetailDurationMs(baseTask)).toBe(60_000);
+    expect(taskDetailDurationMs({ ...baseTask, status: 'awaiting_acceptance', updated_at: '2026-05-27T02:10:55.000Z' })).toBe(494_000);
+  });
+});

app-instance/frontend/lib/task-detail-refresh.ts

@@ -0,0 +1,18 @@
+import type { BackendTask } from '@/types';
+
+const EXECUTING_TASK_STATUSES = new Set(['open', 'queued', 'running']);
+const FINISHED_FOR_DURATION_STATUSES = new Set(['awaiting_acceptance', 'closed', 'abandoned', 'cancelled', 'error']);
+
+export function shouldPollTaskDetail(task: Pick<BackendTask, 'status'> | null): boolean {
+  return Boolean(task && EXECUTING_TASK_STATUSES.has(task.status));
+}
+
+export function taskDetailDurationMs(task: Pick<BackendTask, 'created_at' | 'updated_at' | 'closed_at' | 'status'>): number | null {
+  const start = new Date(task.created_at).getTime();
+  const end = FINISHED_FOR_DURATION_STATUSES.has(task.status)
+    ? new Date(task.closed_at || task.updated_at).getTime()
+    : Date.now();
+
+  if (!Number.isFinite(start) || !Number.isFinite(end)) return null;
+  return Math.max(0, end - start);
+}

app-instance/frontend/lib/task-timeline.test.ts

@@ -166,6 +166,133 @@ describe('buildTaskTimelineCards', () => {
     expect(cards.at(-1)?.summary).toContain('可以');
   });
 
+  it('uses the latest assistant message from the acceptance run as the result body', () => {
+    const task = makeTask({
+      status: 'awaiting_acceptance',
+      updated_at: '2026-05-26T10:04:00.000Z',
+      run_ids: ['run-main'],
+      runs: [
+        {
+          run_id: 'run-main',
+          title: '主 Agent',
+          session_id: 'web:default',
+          messages: [
+            { role: 'assistant', content: 'Draft answer', created_at: '2026-05-26T10:03:00.000Z' },
+            { role: 'assistant', content: 'Final user-visible answer', created_at: '2026-05-26T10:04:00.000Z' },
+          ],
+        },
+      ],
+    });
+    const processEvents: ProcessEvent[] = [
+      {
+        event_id: 'evt-result-ready',
+        run_id: 'run-main',
+        parent_run_id: null,
+        kind: 'task_result_ready',
+        actor_type: 'system',
+        actor_id: 'evidence',
+        actor_name: 'Evidence',
+        text: 'The task result is ready for user acceptance.',
+        created_at: '2026-05-26T10:04:00.000Z',
+        metadata: {
+          result_summary: 'Summary should not replace the final answer.',
+        },
+      },
+    ];
+
+    const cards = buildTaskTimelineCards({ task, processEvents });
+    const result = cards.find((card) => card.type === 'result');
+
+    expect(result?.summary).toBe('Final user-visible answer');
+    expect(result?.details?.result_summary).toBe('Summary should not replace the final answer.');
+  });
+
+  it('collapses previous result and acceptance cards into a history pack', () => {
+    const task = makeTask({
+      status: 'awaiting_acceptance',
+      updated_at: '2026-05-26T10:12:00.000Z',
+      run_ids: ['run-1', 'run-2'],
+      feedback: [
+        {
+          acceptance_type: 'revise',
+          comment: 'Add decisions',
+          created_at: '2026-05-26T10:06:00.000Z',
+          run_id: 'run-1',
+        },
+      ],
+      runs: [
+        {
+          run_id: 'run-1',
+          title: '主 Agent',
+          session_id: 'web:default',
+          messages: [{ role: 'assistant', content: 'Version one answer', created_at: '2026-05-26T10:05:00.000Z' }],
+        },
+        {
+          run_id: 'run-2',
+          title: '主 Agent',
+          session_id: 'web:default',
+          messages: [{ role: 'assistant', content: 'Version two answer', created_at: '2026-05-26T10:12:00.000Z' }],
+        },
+      ],
+    });
+    const processEvents: ProcessEvent[] = [
+      {
+        event_id: 'evt-result-1',
+        run_id: 'run-1',
+        parent_run_id: null,
+        kind: 'task_result_ready',
+        actor_type: 'system',
+        actor_id: 'evidence',
+        actor_name: 'Evidence',
+        text: 'Result one ready.',
+        created_at: '2026-05-26T10:05:00.000Z',
+      },
+      {
+        event_id: 'evt-plan-2',
+        run_id: 'run-2',
+        parent_run_id: null,
+        kind: 'task_planned',
+        actor_type: 'system',
+        actor_id: 'planner',
+        actor_name: 'Task Planner',
+        text: 'Second attempt planned.',
+        created_at: '2026-05-26T10:08:00.000Z',
+      },
+      {
+        event_id: 'evt-result-2',
+        run_id: 'run-2',
+        parent_run_id: null,
+        kind: 'task_result_ready',
+        actor_type: 'system',
+        actor_id: 'evidence',
+        actor_name: 'Evidence',
+        text: 'Result two ready.',
+        created_at: '2026-05-26T10:12:00.000Z',
+      },
+    ];
+
+    const cards = buildTaskTimelineCards({ task, processEvents });
+
+    expect(cards.map((card) => card.type)).toEqual([
+      'task_created',
+      'result_history',
+      'plan',
+      'result',
+    ]);
+    const history = cards.find((card) => card.type === 'result_history');
+    expect(history?.summary).toBe('1 历史结果版本');
+    expect(history?.details?.versions).toEqual([
+      expect.objectContaining({
+        runId: 'run-1',
+        result: 'Version one answer',
+        acceptanceType: 'revise',
+        comment: 'Add decisions',
+      }),
+    ]);
+    expect(cards.find((card) => card.id === 'evt-plan-2')).toBeTruthy();
+    expect(cards.at(-1)?.summary).toBe('Version two answer');
+  });
+
   it('does not add fallback progress when a child run already has progress events', () => {
     const task = makeTask();
     const processRuns: ProcessRun[] = [
@@ -201,6 +328,51 @@ describe('buildTaskTimelineCards', () => {
     expect(cards.map((card) => card.id)).not.toContain('run-research:fallback-progress');
   });
 
+  it('marks a tool call as finished when a matching tool result exists', () => {
+    const task = makeTask();
+    const processEvents: ProcessEvent[] = [
+      {
+        event_id: 'evt-tool-start',
+        run_id: 'run-main',
+        parent_run_id: null,
+        kind: 'tool_call_started',
+        actor_type: 'mcp',
+        actor_id: 'web_search',
+        actor_name: 'web_search',
+        text: 'Calling tool: web_search.',
+        status: 'running',
+        created_at: '2026-05-26T10:02:00.000Z',
+        metadata: {
+          tool_call_id: 'call-1',
+          tool_name: 'web_search',
+        },
+      },
+      {
+        event_id: 'evt-tool-finish',
+        run_id: 'run-main',
+        parent_run_id: null,
+        kind: 'tool_call_finished',
+        actor_type: 'mcp',
+        actor_id: 'web_search',
+        actor_name: 'web_search',
+        text: 'Search failed.',
+        status: 'error',
+        created_at: '2026-05-26T10:03:00.000Z',
+        metadata: {
+          tool_call_id: 'call-1',
+          tool_name: 'web_search',
+          result_summary: 'Search failed.',
+        },
+      },
+    ];
+
+    const cards = buildTaskTimelineCards({ task, processEvents });
+
+    expect(cards.find((card) => card.id === 'evt-tool-start')?.status).toBe('error');
+    expect(cards.find((card) => card.id === 'evt-tool-finish')?.type).toBe('tool_result');
+    expect(cards.find((card) => card.id === 'evt-tool-finish')?.summary).toBe('Search failed.');
+  });
+
   it('maps agent_finished events without timeline metadata to agent progress cards', () => {
     const task = makeTask();
     const processEvents: ProcessEvent[] = [

app-instance/frontend/lib/task-timeline.ts

@@ -27,6 +27,7 @@ const TIMELINE_CARD_TYPES = new Set<TaskTimelineCardType>([
   'artifact',
   'error',
   'result',
+  'result_history',
   'acceptance',
 ]);
 
@@ -77,10 +78,6 @@ function cardTypeForEvent(event: ProcessEvent): TaskTimelineCardType | null {
     return timelineType;
   }
 
-  if (event.status === 'error') {
-    return 'error';
-  }
-
   switch (String(event.kind)) {
     case 'task_planned':
     case 'run_started':
@@ -106,6 +103,9 @@ function cardTypeForEvent(event: ProcessEvent): TaskTimelineCardType | null {
     case 'task_error':
       return 'error';
     default:
+      if (event.status === 'error') {
+        return 'error';
+      }
       return null;
   }
 }
@@ -136,6 +136,8 @@ function titleForCard(type: TaskTimelineCardType, actorName?: string): string {
       return '执行遇到问题';
     case 'result':
       return '本轮结果';
+    case 'result_history':
+      return '历史结果版本';
     case 'acceptance':
       return '任务验收';
   }
@@ -182,6 +184,22 @@ function resultSummary(task: BackendTask): string | undefined {
   );
 }
 
+function assistantResultForRun(task: BackendTask, runId: string | null | undefined): string | undefined {
+  if (!runId) return undefined;
+  const run = (task.runs ?? []).find((item) => item.run_id === runId);
+  if (!run) return undefined;
+  const assistantMessages = run.messages.filter((message) => message.role === 'assistant' && message.content.trim());
+  return lastItem(assistantMessages)?.content.trim();
+}
+
+function resultSummaryForEvent(task: BackendTask, event: ProcessEvent): string | undefined {
+  return firstString(assistantResultForRun(task, event.run_id), summaryForEvent(event));
+}
+
+function fallbackResultSummary(task: BackendTask): string | undefined {
+  return firstString(assistantResultForRun(task, lastItem(task.run_ids)), resultSummary(task));
+}
+
 function buildRunMap(processRuns: ProcessRun[]): Map<string, ProcessRun> {
   const map = new Map<string, ProcessRun>();
   for (const run of processRuns) {
@@ -239,12 +257,106 @@ function isCoveredByAcceptanceEvent(
   return matchingTypeEvents.length === 1;
 }
 
+function cardTime(card: TaskTimelineCard): number {
+  return toTime(card.createdAt) ?? Number.MAX_SAFE_INTEGER;
+}
+
+function cardComment(card: TaskTimelineCard): string | undefined {
+  return firstString(card.details?.comment, card.summary);
+}
+
+function toolCallKeyFromEvent(event: ProcessEvent): string | null {
+  const toolCallId = firstString(event.metadata?.tool_call_id);
+  if (toolCallId) return `${event.run_id}:${toolCallId}`;
+
+  const toolName = firstString(event.metadata?.tool_name, event.actor_name, event.actor_id);
+  if (toolName) return `${event.run_id}:${toolName}`;
+
+  return null;
+}
+
+function buildToolResultStatusByCall(processEvents: ProcessEvent[]): Map<string, string> {
+  const statuses = new Map<string, string>();
+  for (const event of processEvents) {
+    if (cardTypeForEvent(event) !== 'tool_result') continue;
+    const key = toolCallKeyFromEvent(event);
+    if (!key) continue;
+    statuses.set(key, event.status || 'done');
+  }
+  return statuses;
+}
+
+function buildResultHistoryCard(task: BackendTask, resultCards: TaskTimelineCard[], acceptanceCards: TaskTimelineCard[]): TaskTimelineCard {
+  const versions = resultCards.map((resultCard) => {
+    const acceptanceCard = acceptanceCards
+      .filter((card) => card.runId === resultCard.runId)
+      .sort((a, b) => cardTime(a) - cardTime(b))
+      .at(-1);
+    return {
+      runId: resultCard.runId ?? null,
+      result: resultCard.summary ?? '',
+      createdAt: resultCard.createdAt,
+      status: acceptanceCard?.status ?? resultCard.status ?? null,
+      acceptanceType: acceptanceCard?.status ?? null,
+      comment: acceptanceCard ? cardComment(acceptanceCard) ?? '' : '',
+      acceptedAt: acceptanceCard?.createdAt ?? null,
+    };
+  });
+
+  return {
+    id: `${task.task_id}:result-history`,
+    taskId: task.task_id,
+    type: 'result_history',
+    title: titleForCard('result_history'),
+    summary: `${resultCards.length} 历史结果版本`,
+    createdAt: resultCards[0]?.createdAt ?? task.created_at,
+    details: { versions },
+  };
+}
+
+function collapseHistoricalResults(task: BackendTask, cards: TaskTimelineCard[]): TaskTimelineCard[] {
+  const resultCards = cards.filter((card) => card.type === 'result');
+  if (resultCards.length <= 1) return cards;
+
+  const finalAcceptedRunId = firstString(task.metadata?.final_accepted_run_id);
+  const latestResult =
+    (finalAcceptedRunId ? resultCards.find((card) => card.runId === finalAcceptedRunId) : undefined) ??
+    [...resultCards].sort((a, b) => cardTime(a) - cardTime(b)).at(-1);
+  if (!latestResult) return cards;
+
+  const oldResults = resultCards
+    .filter((card) => card.id !== latestResult.id)
+    .sort((a, b) => cardTime(a) - cardTime(b));
+  if (oldResults.length === 0) return cards;
+
+  const oldRunIds = new Set(oldResults.map((card) => card.runId).filter(Boolean));
+  const oldAcceptances = cards
+    .filter((card) => card.type === 'acceptance' && oldRunIds.has(card.runId))
+    .sort((a, b) => cardTime(a) - cardTime(b));
+  const foldedIds = new Set([...oldResults, ...oldAcceptances].map((card) => card.id));
+  const historyCard = buildResultHistoryCard(task, oldResults, oldAcceptances);
+  const firstOldResultIndex = cards.findIndex((card) => card.id === oldResults[0].id);
+  const output: TaskTimelineCard[] = [];
+
+  for (let index = 0; index < cards.length; index += 1) {
+    if (index === firstOldResultIndex) {
+      output.push(historyCard);
+    }
+    if (!foldedIds.has(cards[index].id)) {
+      output.push(cards[index]);
+    }
+  }
+
+  return output;
+}
+
 export function buildTaskTimelineCards(input: BuildTaskTimelineCardsInput): TaskTimelineCard[] {
   const { task } = input;
   const processRuns = input.processRuns ?? task.process_runs ?? [];
   const processEvents = input.processEvents ?? task.process_events ?? [];
   const processArtifacts = input.processArtifacts ?? task.process_artifacts ?? [];
   const runsById = buildRunMap(processRuns);
+  const toolResultStatusByCall = buildToolResultStatusByCall(processEvents);
   const runsWithProgressEvents = new Set<string>();
   const acceptanceEvents: AcceptanceEventIdentity[] = [];
   let hasResultEventCard = false;
@@ -285,9 +397,12 @@ export function buildTaskTimelineCards(input: BuildTaskTimelineCardsInput): Task
       parentRunId: event.parent_run_id,
       type,
       title: titleForCard(type, event.actor_name),
-      summary: summaryForEvent(event),
+      summary: type === 'result' ? resultSummaryForEvent(task, event) : summaryForEvent(event),
       actorName: event.actor_name,
-      status: event.status,
+      status:
+        type === 'tool_call'
+          ? toolResultStatusByCall.get(toolCallKeyFromEvent(event) ?? '') ?? event.status
+          : event.status,
       createdAt: event.created_at,
       details: detailsForEvent(event),
     });
@@ -340,7 +455,7 @@ export function buildTaskTimelineCards(input: BuildTaskTimelineCardsInput): Task
       runId: lastItem(task.run_ids),
       type: 'result',
       title: titleForCard('result'),
-      summary: resultSummary(task),
+      summary: fallbackResultSummary(task),
       status: task.status,
       createdAt: task.closed_at ?? task.updated_at ?? task.created_at,
       details: task.validation_result ?? undefined,
@@ -366,8 +481,10 @@ export function buildTaskTimelineCards(input: BuildTaskTimelineCardsInput): Task
     });
   }
 
-  return cards
+  const sortedCards = cards
     .map((card, index) => ({ card, index }))
     .sort(compareCardsByCreatedAt)
     .map(({ card }) => card);
+
+  return collapseHistoricalResults(task, sortedCards);
 }

app-instance/frontend/types/index.ts

@@ -142,6 +142,12 @@ export interface ProviderConfigPayload {
   request_timeout_seconds?: number;
 }
 
+export interface AgentConfigPayload {
+  max_tokens: number | null;
+  temperature: number;
+  max_tool_iterations: number;
+}
+
 export interface ChannelStatus {
   name: string;
   enabled: boolean;
@@ -153,7 +159,7 @@ export interface SystemStatus {
   workspace: string;
   workspace_exists: boolean;
   model: string;
-  max_tokens: number;
+  max_tokens: number | null;
   max_context_messages?: number;
   temperature: number;
   max_tool_iterations: number;
@@ -794,6 +800,7 @@ export type TaskTimelineCardType =
   | 'artifact'
   | 'error'
   | 'result'
+  | 'result_history'
   | 'acceptance';
 
 export interface TaskTimelineCard {