feat(agent): extend Codex reasoning effort options to include 'max' and 'ultra', and update related logging and UI components

web/src/components/agent/agent-chat-composer.tsx

@@ -1,7 +1,8 @@
 import { useRef, type ReactNode } from "react";
 import { Button, Dropdown, Tooltip } from "antd";
-import { ArrowUp, Check, ChevronUp, Hand, ImagePlus, LoaderCircle, RefreshCw, ShieldAlert, ShieldCheck, ShieldOff, Sparkles, Square, X } from "lucide-react";
+import { ArrowUp, Check, ChevronUp, Cpu, Hand, ImagePlus, LoaderCircle, RefreshCw, ShieldAlert, ShieldCheck, ShieldOff, Square, X } from "lucide-react";
 
+import { Select, SelectContent, SelectItem, SelectTrigger } from "@/components/ui/select";
 import { canvasThemes } from "@/lib/canvas-theme";
 import { isPlainEnterKey } from "@/lib/keyboard-event";
 import type { AgentModel, AgentPermissionMode, AgentReasoningEffort } from "@/stores/use-agent-store";
@@ -105,7 +106,7 @@ export function AgentChatComposer({
                         ) : null}
                         {onConfirmToolsChange ? <ToolConfirmationMenu confirmTools={Boolean(confirmTools)} theme={theme} onChange={onConfirmToolsChange} /> : null}
                         {permissionMode && onPermissionModeChange ? <PermissionModeMenu permissionMode={permissionMode} theme={theme} onChange={onPermissionModeChange} /> : null}
-                        {models?.length && model && reasoningEffort && onModelChange && onReasoningEffortChange ? <AgentModelMenu models={models} model={model} reasoningEffort={reasoningEffort} theme={theme} onModelChange={onModelChange} onReasoningEffortChange={onReasoningEffortChange} /> : null}
+                        {models?.length && model && reasoningEffort && onModelChange && onReasoningEffortChange ? <AgentModelControls models={models} model={model} reasoningEffort={reasoningEffort} onModelChange={onModelChange} onReasoningEffortChange={onReasoningEffortChange} /> : null}
                         {left}
                     </div>
                     <div className="flex shrink-0 items-center gap-1.5">
@@ -121,42 +122,28 @@ export function AgentChatComposer({
     );
 }
 
-function AgentModelMenu({ models, model, reasoningEffort, theme, onModelChange, onReasoningEffortChange }: { models: AgentModel[]; model: string; reasoningEffort: AgentReasoningEffort; theme: (typeof canvasThemes)[keyof typeof canvasThemes]; onModelChange: (model: string) => void; onReasoningEffortChange: (effort: AgentReasoningEffort) => void }) {
+function AgentModelControls({ models, model, reasoningEffort, onModelChange, onReasoningEffortChange }: { models: AgentModel[]; model: string; reasoningEffort: AgentReasoningEffort; onModelChange: (model: string) => void; onReasoningEffortChange: (effort: AgentReasoningEffort) => void }) {
     const current = models.find((item) => item.model === model) || models[0];
     return (
-        <Dropdown
-            trigger={["click"]}
-            placement="topLeft"
-            menu={{
-                items: [
-                    {
-                        key: "model",
-                        label: "模型",
-                        children: models.map((item) => ({
-                            key: item.model,
-                            label: <PickerOption title={item.displayName || item.model} selected={item.model === model} />,
-                            onClick: () => onModelChange(item.model),
-                        })),
-                    },
-                    {
-                        key: "effort",
-                        label: "推理强度",
-                        children: current.supportedReasoningEfforts.map((item) => ({
-                            key: item.reasoningEffort,
-                            label: <PickerOption title={effortLabels[item.reasoningEffort]} selected={item.reasoningEffort === reasoningEffort} />,
-                            onClick: () => onReasoningEffortChange(item.reasoningEffort),
-                        })),
-                    },
-                ],
-            }}
-        >
-            <button type="button" className="flex h-9 min-w-0 items-center gap-1.5 rounded-full px-2.5 text-xs font-medium transition hover:bg-black/5 dark:hover:bg-white/10" style={{ color: theme.node.text }} aria-label="选择 Codex 模型和推理强度">
-                <Sparkles className="size-3.5 shrink-0" />
-                <span className="max-w-28 truncate">{current.displayName || current.model}</span>
-                <span className="shrink-0 opacity-55">{effortLabels[reasoningEffort]}</span>
-                <ChevronUp className="size-3 shrink-0 opacity-50" />
-            </button>
-        </Dropdown>
+        <div className="flex min-w-0 items-center gap-1">
+            <Select value={model} onValueChange={onModelChange}>
+                <SelectTrigger className="h-9 min-w-0 max-w-36 rounded-full border-0 bg-transparent px-2.5 text-xs font-medium shadow-none hover:bg-black/5 focus:ring-0 dark:bg-transparent dark:hover:bg-white/10" title={current.displayName || current.model} aria-label="选择 Codex 模型">
+                    <Cpu className="size-3.5 shrink-0 opacity-70" />
+                    <span className="min-w-0 flex-1 truncate text-left">{current.displayName || current.model}</span>
+                </SelectTrigger>
+                <SelectContent data-canvas-no-zoom position="popper" side="top" align="start" sideOffset={6} className="z-[1200] w-64 rounded-xl border border-border/70 bg-popover p-1 shadow-xl">
+                    {models.map((item) => <SelectItem key={item.model} value={item.model}>{item.displayName || item.model}</SelectItem>)}
+                </SelectContent>
+            </Select>
+            <Select value={reasoningEffort} onValueChange={(value) => onReasoningEffortChange(value as AgentReasoningEffort)}>
+                <SelectTrigger className="h-9 rounded-full border-0 bg-transparent px-2.5 text-xs font-medium shadow-none hover:bg-black/5 focus:ring-0 dark:bg-transparent dark:hover:bg-white/10" aria-label="选择推理强度">
+                    <span>{effortLabels[reasoningEffort]}</span>
+                </SelectTrigger>
+                <SelectContent data-canvas-no-zoom position="popper" side="top" align="start" sideOffset={6} className="z-[1200] min-w-32 rounded-xl border border-border/70 bg-popover p-1 shadow-xl">
+                    {current.supportedReasoningEfforts.map((item) => <SelectItem key={item.reasoningEffort} value={item.reasoningEffort}>{effortLabels[item.reasoningEffort]}</SelectItem>)}
+                </SelectContent>
+            </Select>
+        </div>
     );
 }
 
@@ -166,17 +153,10 @@ const effortLabels: Record<AgentReasoningEffort, string> = {
     medium: "中",
     high: "高",
     xhigh: "极高",
+    max: "最高",
+    ultra: "Ultra",
 };
 
-function PickerOption({ title, selected }: { title: string; selected: boolean }) {
-    return (
-        <div className="flex min-w-48 items-center gap-3 py-0.5">
-            <span className="min-w-0 flex-1 text-sm font-medium">{title}</span>
-            {selected ? <Check className="size-4 shrink-0" /> : null}
-        </div>
-    );
-}
-
 function PermissionModeMenu({ permissionMode, theme, onChange }: { permissionMode: AgentPermissionMode; theme: (typeof canvasThemes)[keyof typeof canvasThemes]; onChange: (permissionMode: AgentPermissionMode) => void }) {
     const current = permissionOptions.find((item) => item.key === permissionMode) || permissionOptions[0];
     return (

web/src/components/agent/local-agent-panel.tsx

@@ -61,6 +61,8 @@ import { AgentPanelTabs } from "./agent-panel-tabs";
 const MAX_ATTACHMENTS = 6;
 const MAX_ATTACHMENT_PAYLOAD_BYTES = 28 * 1024 * 1024;
 const DEFAULT_AGENT_URL = "http://127.0.0.1:17371";
+const AGENT_REASONING_EFFORTS = new Set<AgentReasoningEffort>(["minimal", "low", "medium", "high", "xhigh", "max", "ultra"]);
+const AGENT_REASONING_LABELS: Record<AgentReasoningEffort, string> = { minimal: "最低", low: "轻度", medium: "中", high: "高", xhigh: "极高", max: "最高", ultra: "Ultra" };
 
 type AgentWorkspace = { workspacePath: string; activeThreadId?: string };
 type AgentThreadsResponse = { ok?: boolean; workspace?: AgentWorkspace; data?: AgentThreadSummary[] };
@@ -285,15 +287,24 @@ export function LocalAgentPanel({ embedded, headless, autoConnect }: { embedded?
     useEffect(() => {
         if (!connected) return;
         void fetchAgentJson<AgentModelsResponse>(endpoint, token, "/agent/codex/models").then(({ data = [] }) => {
-            if (!data.length) return;
+            const names = new Set<string>();
+            const models = data.flatMap((item) => {
+                const name = item.displayName || item.model;
+                const efforts = item.supportedReasoningEfforts.filter(({ reasoningEffort }) => AGENT_REASONING_EFFORTS.has(reasoningEffort));
+                if (item.model === "codex-auto-review" || names.has(name) || !efforts.length) return [];
+                names.add(name);
+                const defaultReasoningEffort = efforts.some((effort) => effort.reasoningEffort === item.defaultReasoningEffort) ? item.defaultReasoningEffort : efforts[0].reasoningEffort;
+                return [{ ...item, supportedReasoningEfforts: efforts, defaultReasoningEffort }];
+            });
+            if (!models.length) return;
             const savedModel = useAgentStore.getState().model;
-            const current = data.find((item) => item.model === savedModel) || data.find((item) => item.isDefault) || data[0];
+            const current = models.find((item) => item.model === savedModel) || models.find((item) => item.isDefault) || models[0];
             const savedEffort = useAgentStore.getState().reasoningEffort;
             const efforts = current.supportedReasoningEfforts.map((item) => item.reasoningEffort);
             const nextEffort = efforts.includes(savedEffort as AgentReasoningEffort) ? savedEffort as AgentReasoningEffort : current.defaultReasoningEffort || efforts[0];
             localStorage.setItem("canvas-agent-model", current.model);
             localStorage.setItem("canvas-agent-reasoning-effort", nextEffort);
-            setAgentState({ models: data, model: current.model, reasoningEffort: nextEffort });
+            setAgentState({ models, model: current.model, reasoningEffort: nextEffort });
         }).catch((error) => addEventLog("读取模型列表失败", error));
     }, [connected, endpoint, setAgentState, token]);
 
@@ -333,7 +344,9 @@ export function LocalAgentPanel({ embedded, headless, autoConnect }: { embedded?
                 setAgentState({ activeThreadId: threadId, tokenUsage: null });
             }
             if (files.length) void saveAgentUserMessage(threadId, { id: messageId, role: "user", text: userText, historyText: requestPrompt, attachments: files }).catch(() => undefined);
-            addEventLog("发送任务", `${compactText(text) || "仅附件"}${files.length ? ` · 附件 ${files.length}` : ""}`);
+            const modelName = models.find((item) => item.model === model)?.displayName || model || "默认模型";
+            const effortName = reasoningEffort ? AGENT_REASONING_LABELS[reasoningEffort] : "默认强度";
+            addEventLog("发送任务", `${modelName} · ${effortName}${files.length ? ` · 附件 ${files.length}` : ""} · ${compactText(text) || "仅附件"}`);
             const data = await fetchAgentJson<{ threadId?: string }>(endpoint, token, "/agent/codex/turn", {
                 method: "POST",
                 headers: { "content-type": "application/json" },

web/src/stores/use-agent-store.ts

@@ -8,7 +8,7 @@ export type AgentChatItem = { id: string; role: AgentChatRole; title?: string; t
 export type AgentEventLog = { id: string; time: string; title: string; text: string; raw?: unknown };
 export type AgentPendingToolCall = { requestId: string; name: string; input?: { ops?: CanvasAgentOp[]; path?: string } & Record<string, unknown> };
 export type AgentPermissionMode = "request" | "automatic" | "full";
-export type AgentReasoningEffort = "minimal" | "low" | "medium" | "high" | "xhigh";
+export type AgentReasoningEffort = "minimal" | "low" | "medium" | "high" | "xhigh" | "max" | "ultra";
 export type AgentModel = {
     id: string;
     model: string;