feat(agent): add support for selecting Codex model and reasoning effort in the canvas agent, retaining choices for subsequent tasks

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

@@ -1,10 +1,10 @@
 import { useRef, type ReactNode } from "react";
 import { Button, Dropdown, Tooltip } from "antd";
-import { ArrowUp, Check, ChevronUp, Hand, ImagePlus, LoaderCircle, RefreshCw, ShieldAlert, ShieldCheck, ShieldOff, Square, X } from "lucide-react";
+import { ArrowUp, Check, ChevronUp, Hand, ImagePlus, LoaderCircle, RefreshCw, ShieldAlert, ShieldCheck, ShieldOff, Sparkles, Square, X } from "lucide-react";
 
 import { canvasThemes } from "@/lib/canvas-theme";
 import { isPlainEnterKey } from "@/lib/keyboard-event";
-import type { AgentPermissionMode } from "@/stores/use-agent-store";
+import type { AgentModel, AgentPermissionMode, AgentReasoningEffort } from "@/stores/use-agent-store";
 import type { AgentChatAttachment } from "./agent-chat-message";
 
 export function AgentChatComposer({
@@ -23,6 +23,11 @@ export function AgentChatComposer({
     onConfirmToolsChange,
     permissionMode,
     onPermissionModeChange,
+    models,
+    model,
+    reasoningEffort,
+    onModelChange,
+    onReasoningEffortChange,
     left,
 }: {
     prompt: string;
@@ -40,6 +45,11 @@ export function AgentChatComposer({
     onConfirmToolsChange?: (confirmTools: boolean) => void;
     permissionMode?: AgentPermissionMode;
     onPermissionModeChange?: (permissionMode: AgentPermissionMode) => void;
+    models?: AgentModel[];
+    model?: string;
+    reasoningEffort?: AgentReasoningEffort | "";
+    onModelChange?: (model: string) => void;
+    onReasoningEffortChange?: (effort: AgentReasoningEffort) => void;
     left?: ReactNode;
 }) {
     const fileInputRef = useRef<HTMLInputElement>(null);
@@ -95,6 +105,7 @@ 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}
                         {left}
                     </div>
                     <div className="flex shrink-0 items-center gap-1.5">
@@ -110,6 +121,62 @@ 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 }) {
+    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>
+    );
+}
+
+const effortLabels: Record<AgentReasoningEffort, string> = {
+    minimal: "最低",
+    low: "轻度",
+    medium: "中",
+    high: "高",
+    xhigh: "极高",
+};
+
+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

@@ -13,7 +13,7 @@ import { uploadImage } from "@/services/image-storage";
 import { deleteAgentThreadMessages, readAgentUserMessages, saveAgentUserMessage } from "@/services/agent-chat-storage";
 import { useThemeStore } from "@/stores/use-theme-store";
 import { useShallow } from "zustand/react/shallow";
-import { useAgentStore, type AgentCanvasContext, type AgentChatItem, type AgentPendingApproval, type AgentPendingToolCall, type AgentPermissionMode, type AgentThreadSummary } from "@/stores/use-agent-store";
+import { useAgentStore, type AgentCanvasContext, type AgentChatItem, type AgentModel, type AgentPendingApproval, type AgentPendingToolCall, type AgentPermissionMode, type AgentReasoningEffort, type AgentThreadSummary } from "@/stores/use-agent-store";
 import { summarizeCanvasAgentOps, type CanvasAgentOp, type CanvasAgentSnapshot } from "@/lib/canvas/canvas-agent-ops";
 import { isSiteTool, runSiteTool } from "@/lib/agent/agent-site-tools";
 import { activateAgentClient, discoverAgentConfig, fetchAgentJson, postCodexApproval, postState, postToolResult } from "./agent-api";
@@ -65,6 +65,7 @@ const DEFAULT_AGENT_URL = "http://127.0.0.1:17371";
 type AgentWorkspace = { workspacePath: string; activeThreadId?: string };
 type AgentThreadsResponse = { ok?: boolean; workspace?: AgentWorkspace; data?: AgentThreadSummary[] };
 type AgentThreadResponse = { ok?: boolean; workspace?: AgentWorkspace; thread?: AgentThreadSummary; messages?: AgentChatItem[] };
+type AgentModelsResponse = { ok?: boolean; data?: AgentModel[] };
 type AgentCodexState = { busy?: boolean; threadId?: string; turnId?: string };
 type AgentHelloEvent = { ok?: boolean; clientId?: string; codex?: AgentCodexState };
 type AgentWorkspaceEvent = { activeThreadId?: string; threadId?: string; emptyThread?: boolean; draftThread?: boolean };
@@ -79,7 +80,7 @@ export function LocalAgentPanel({ embedded, headless, autoConnect }: { embedded?
     // 注意：canvasContext 不在此订阅内 —— 它在拖拽/resize 时会被 project 每帧写入，
     // 但面板只在 ref 同步与防抖 postState 中用到它、渲染层从不读它。若把它放进订阅，
     // 面板会随画布每帧重渲染（性能问题，也是 #185 崩溃的放大器）。改为下方 subscribe 命令式监听。
-    const { width, url, token, connected, enabled, prompt, attachments, sending, waiting, tokenUsage, eventLogs, threads, activeThreadId, workspacePath, loadingThreads, activeTab, confirmTools, permissionMode, activity, connectError, pendingTool, pendingApprovals } = useAgentStore(
+    const { width, url, token, connected, enabled, prompt, attachments, sending, waiting, tokenUsage, eventLogs, threads, activeThreadId, workspacePath, loadingThreads, activeTab, confirmTools, permissionMode, models, model, reasoningEffort, activity, connectError, pendingTool, pendingApprovals } = useAgentStore(
         useShallow((state) => ({
             width: state.width,
             url: state.url,
@@ -99,6 +100,9 @@ export function LocalAgentPanel({ embedded, headless, autoConnect }: { embedded?
             activeTab: state.activeTab,
             confirmTools: state.confirmTools,
             permissionMode: state.permissionMode,
+            models: state.models,
+            model: state.model,
+            reasoningEffort: state.reasoningEffort,
             activity: state.activity,
             connectError: state.connectError,
             pendingTool: state.pendingTool,
@@ -278,6 +282,21 @@ export function LocalAgentPanel({ embedded, headless, autoConnect }: { embedded?
         if (connected) void loadThreads();
     }, [connected, loadThreads]);
 
+    useEffect(() => {
+        if (!connected) return;
+        void fetchAgentJson<AgentModelsResponse>(endpoint, token, "/agent/codex/models").then(({ data = [] }) => {
+            if (!data.length) return;
+            const savedModel = useAgentStore.getState().model;
+            const current = data.find((item) => item.model === savedModel) || data.find((item) => item.isDefault) || data[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 });
+        }).catch((error) => addEventLog("读取模型列表失败", error));
+    }, [connected, endpoint, setAgentState, token]);
+
     useEffect(() => {
         if (!connected) return;
         const activate = () => void activateAgentClient(endpoint, token, clientIdRef.current);
@@ -325,6 +344,8 @@ export function LocalAgentPanel({ embedded, headless, autoConnect }: { embedded?
                     clientId: clientIdRef.current,
                     threadId,
                     permissionMode,
+                    model,
+                    effort: reasoningEffort,
                     attachments: files.map(({ id, name, type, size, width, height, dataUrl }) => ({ id, name, type, size, width, height, dataUrl })),
                 }),
             });
@@ -904,6 +925,21 @@ export function LocalAgentPanel({ embedded, headless, autoConnect }: { embedded?
                         onConfirmToolsChange={(confirmTools) => setAgentState({ confirmTools })}
                         permissionMode={permissionMode}
                         onPermissionModeChange={changePermissionMode}
+                        models={models}
+                        model={model}
+                        reasoningEffort={reasoningEffort}
+                        onModelChange={(model) => {
+                            const selected = models.find((item) => item.model === model);
+                            if (!selected) return;
+                            const effort = selected.defaultReasoningEffort || selected.supportedReasoningEfforts[0]?.reasoningEffort;
+                            localStorage.setItem("canvas-agent-model", model);
+                            if (effort) localStorage.setItem("canvas-agent-reasoning-effort", effort);
+                            setAgentState({ model, ...(effort ? { reasoningEffort: effort } : {}) });
+                        }}
+                        onReasoningEffortChange={(reasoningEffort) => {
+                            localStorage.setItem("canvas-agent-reasoning-effort", reasoningEffort);
+                            setAgentState({ reasoningEffort });
+                        }}
                         left={
                             attachments.length ? (
                                 <span className="text-[11px]" style={{ color: theme.node.muted }}>