1166 lines
66 KiB
TypeScript
1166 lines
66 KiB
TypeScript
import { useCallback, useEffect, useMemo, useRef, useState, type CSSProperties } from "react";
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import { Button } from "antd";
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import { AnimatePresence, motion, useReducedMotion } from "motion/react";
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import { MoveDiagonal2 } from "lucide-react";
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import { saveAs } from "file-saver";
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import { buildAgentDebugExport } from "@/lib/canvas/agent-debug-export";
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import { agentPlanVisible, latestAgentPlanItems, latestAgentPlanTerminal, pendingAgentQuestion } from "@/lib/canvas/cloud-agent-plan";
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import { emptyAgentContextUsage, presentAgentContextUsage, reduceAgentContextUsage, type AgentContextUsage } from "@/lib/canvas/agent-context-usage";
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import { nanoid } from "nanoid";
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import type { CanvasResourceReference } from "@/lib/canvas/canvas-resource-references";
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import { canvasThemes } from "@/lib/canvas-theme";
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import { agentSubmissionErrorTitle } from "@/lib/canvas/agent-error-presentation";
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import {
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cancelAgentRun,
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getAgentCapabilities,
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getAgentProfile,
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getAgentRun,
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createAgentRun,
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decideAgentApproval,
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sendAgentInterjection,
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sendAgentMessage,
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subscribeAgentEvents,
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updateAgentProfile,
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type AgentPermissionMode,
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type AgentProfileScope,
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type AgentProfileView,
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type AgentReasoningMode,
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type AgentRun,
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} from "@/services/api/agent";
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import { agentApprovalMatchesSettings, agentApprovalTargetGenerating } from "@/lib/canvas/agent-media-approval";
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import { appendAgentPromptPrefill } from "@/lib/canvas/agent-prompt-prefill";
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import type { CanvasNodeData } from "@/types/canvas";
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import type { AgentMediaSettings } from "@/services/api/agent";
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import { addSkill, listAddedSkills, listSkillLibraryCategories, listSkills, listSkillPresets, type Skill, type SkillCategory, type SkillLibraryCategory, type SkillPreset } from "@/services/api/skills";
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import {
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clearCloudAgentPendingSubmission,
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cloudAgentConversationTitle,
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loadCloudAgentConversations,
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loadCloudAgentPendingSubmission,
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saveCloudAgentConversations,
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saveCloudAgentPendingSubmission,
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type CloudAgentConversation,
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type CloudAgentPendingSubmission,
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type CloudAgentMessagePresentation,
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} from "@/services/cloud-agent-conversations";
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import { logicalModelIDForConfig, modelOptionName, resolveModelRequestConfig, selectableModelsByCapability, useConfigStore, useEffectiveConfig } from "@/stores/use-config-store";
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import { selectImageInspectionModel } from "@/lib/canvas/image-to-previs-agent";
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import { useActiveTheme } from "@/stores/canvas/use-canvas-theme-store";
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import { useUserStore } from "@/stores/use-user-store";
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import { getActiveUserScope } from "@/lib/user-scope";
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import { applyAgentCanvasPatches, refreshCanvasAfterAgent, saveRemoteUserDataNow } from "@/services/user-data-sync";
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import { createAgentCanvasSync } from "@/services/agent-canvas-sync";
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import { buildSkillMentionReferences, resolveSkillMentions } from "@/services/skill-runtime";
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import { DEFAULT_CANVAS_AGENT_SKILL_ID, ensureDefaultCanvasAgentSkill } from "@/services/skill-defaults";
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import { AGENT_SCENE_DEFS, AgentChatComposer, parseCloudAgentFormAnswer, AgentPlanBar, AgentQuestionBar, AgentSceneCapsules, type AgentSceneBucket, type CloudAgentChatMessage } from "./canvas-cloud-agent-chat-ui";
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import { CanvasAgentSkillLibraryModal } from "./canvas-agent-skill-library-modal";
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import { useSkillCuration, curationQuery } from "@/components/skills/skill-curation-browser";
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import { CanvasCloudAgentSettings, type AgentContextKey } from "./canvas-cloud-agent-settings";
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import { useAgentPanelLayout } from "./use-agent-panel-layout";
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import "./canvas-cloud-agent.css";
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import { appendAgentError, appendUniqueMessage, applyAgentEvent, positiveNumber, type ApprovalState } from "./canvas-cloud-agent-events";
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import { AgentContextRing, AgentConversation, AgentHeader, AgentHistory, AgentLauncher, ComposerControls } from "./canvas-cloud-agent-panel-parts";
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import { AgentConnectorsBar } from "./canvas-cloud-agent-connectors";
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type CloudAgentPanelProps = {
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canvasId: string;
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domainProjectId?: string;
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nodeCount: number;
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selectedNodeIds: string[];
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references: CanvasResourceReference[];
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open: boolean;
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/** 外部预填请求（如右键“发送到 Agent”）；id 变化即追加一次 text，可选自动提交和视觉模型路由。 */
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prefillRequest?: (CloudAgentMessagePresentation & { id: number; text: string; autoSubmit?: boolean; requiresVision?: boolean }) | null;
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onOpen: () => void;
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onCollapse: () => void;
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onFocusNode?: (nodeId: string) => void;
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/** 画布节点快照：用于识别审批目标节点是否已被用户直接提交生成。 */
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canvasNodes?: readonly CanvasNodeData[];
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runningNodeId?: string | null;
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};
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type AgentPanelView = "chat" | "history" | "settings";
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export function CanvasCloudAgentPanel({ canvasId, domainProjectId, nodeCount, selectedNodeIds, references, open, prefillRequest, onOpen, onCollapse, onFocusNode, canvasNodes, runningNodeId }: CloudAgentPanelProps) {
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const userId = useUserStore((state) => state.user?.id);
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const theme = canvasThemes[useActiveTheme()];
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const config = useEffectiveConfig();
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const updateConfig = useConfigStore((state) => state.updateConfig);
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const reducedMotion = useReducedMotion();
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const [view, setView] = useState<AgentPanelView>("chat");
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const [run, setRun] = useState<AgentRun | null>(null);
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const [contextUsage, setContextUsage] = useState<AgentContextUsage>(() => emptyAgentContextUsage(""));
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const [connectionStatus, setConnectionStatus] = useState<"connecting" | "connected" | "reconnecting" | "disconnected">("connecting");
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const [connectionEpoch, setConnectionEpoch] = useState(0);
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const [messages, setMessages] = useState<CloudAgentChatMessage[]>([]);
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const [prompt, setPrompt] = useState("");
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const lastPrefillIdRef = useRef(0);
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const [pendingAutoSubmit, setPendingAutoSubmit] = useState<CloudAgentPanelProps["prefillRequest"]>(null);
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const prefilledSubmissionRef = useRef<CloudAgentPanelProps["prefillRequest"]>(null);
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const [reasoningMode, setReasoningMode] = useState<AgentReasoningMode>("off");
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const [profileView, setProfileView] = useState<AgentProfileView | null>(null);
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const [profileLoading, setProfileLoading] = useState(false);
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const [profileSaving, setProfileSaving] = useState(false);
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const [profileError, setProfileError] = useState<string>();
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const profileRequestRef = useRef(0);
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const [skills, setSkills] = useState<Skill[]>([]);
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const [selectedSkillIds, setSelectedSkillIds] = useState<string[]>([]);
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const [marketSkills, setMarketSkills] = useState<Skill[]>([]);
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const [skillSearch, setSkillSearch] = useState("");
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const [debouncedSkillSearch, setDebouncedSkillSearch] = useState("");
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const [skillsLoading, setSkillsLoading] = useState(false);
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const [skillHasMore, setSkillHasMore] = useState(false);
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const [skillPage, setSkillPage] = useState(1);
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const [skillCategories, setSkillCategories] = useState<SkillCategory[]>([]);
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const [libraryCategories, setLibraryCategories] = useState<SkillLibraryCategory[]>([]);
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const [skillTag, setSkillTag] = useState("all");
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const [skillsOpen, setSkillsOpen] = useState(false);
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const curationState = useSkillCuration(skillsOpen);
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const [platformCategory, setPlatformCategory] = useState("");
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const skillBrowseKey = JSON.stringify([userId, skillTag, debouncedSkillSearch, platformCategory, curationState.curation?.revision, curationState.curation?.enabled]);
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const skillBrowseKeyRef = useRef(skillBrowseKey);
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skillBrowseKeyRef.current = skillBrowseKey;
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useEffect(() => { if (curationState.curation?.enabled) setSkillTag("all"); }, [curationState.curation?.enabled]);
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const [busy, setBusy] = useState(false);
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const [approvalSubmitting, setApprovalSubmitting] = useState(false);
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const [exporting, setExporting] = useState(false);
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const [stopping, setStopping] = useState(false);
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const [approval, setApproval] = useState<ApprovalState | null>(null);
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const [permissionMode, setPermissionMode] = useState<AgentPermissionMode>("request_approval");
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const [contextScope, setContextScope] = useState<AgentContextKey[]>(["canvas"]);
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const [maxCredits, setMaxCredits] = useState("200");
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const [maxGenerationTasks, setMaxGenerationTasks] = useState("0");
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const [maxVideoSeconds, setMaxVideoSeconds] = useState("0");
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const [conversations, setConversations] = useState<CloudAgentConversation[]>([]);
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const [activeConversationId, setActiveConversationId] = useState(() => nanoid());
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const [historyHydrated, setHistoryHydrated] = useState(false);
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const [pendingHydrated, setPendingHydrated] = useState(false);
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const [planMinimized, setPlanMinimized] = useState(false);
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const planItems = useMemo(() => latestAgentPlanItems(messages), [messages]);
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const planTerminal = useMemo(() => latestAgentPlanTerminal(messages), [messages]);
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const planVisible = agentPlanVisible(planItems);
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const pendingQuestion = useMemo(() => pendingAgentQuestion(messages), [messages]);
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const [scenePresets, setScenePresets] = useState<SkillPreset[]>([]);
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const [presetApplyingId, setPresetApplyingId] = useState("");
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const presetApplyingRef = useRef<string | null>(null);
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// 连接器条默认展示，关闭后本次会话内不再显示。
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const [connectorsVisible, setConnectorsVisible] = useState(true);
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const panelLayout = useAgentPanelLayout();
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const lastSeqRef = useRef(0);
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const canvasSyncRef = useRef<ReturnType<typeof createAgentCanvasSync> | null>(null);
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useEffect(() => {
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const sync = createAgentCanvasSync({
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canvasId,
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applyPatches: (patches) => applyAgentCanvasPatches(canvasId, patches),
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refresh: () => refreshCanvasAfterAgent(canvasId),
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onError: (cause) => setMessages((current) => appendAgentError(current, `canvas-sync-${canvasId}`, cause, "画布同步冲突")),
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});
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canvasSyncRef.current = sync;
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return () => {
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sync.dispose();
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if (canvasSyncRef.current === sync) canvasSyncRef.current = null;
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};
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}, [canvasId]);
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const skillPageRequestRef = useRef(false);
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const approvalRequestRef = useRef<string | null>(null);
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const pendingSubmission = useRef<CloudAgentPendingSubmission | null>(null);
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const submissionRequestRef = useRef(false);
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const conversationScope = `${canvasId}:${activeConversationId}`;
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const currentScope = useRef(conversationScope);
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currentScope.current = conversationScope;
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const running = Boolean(run?.cleanupPending) || run?.status === "running" || run?.status === "queued" || run?.status === "waiting_approval";
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const selectedModel = useMemo(() => {
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const textModels = selectableModelsByCapability(config, "text");
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const preferred = config.textModel || config.model || "";
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return textModels.includes(preferred) ? preferred : textModels[0] || "";
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}, [config]);
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const installedSkills = useMemo(() => skills.filter((skill) => skill.isAdded), [skills]);
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const installedSkillIds = useMemo(() => new Set(installedSkills.map((skill) => skill.skillId)), [installedSkills]);
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const [createdSkills, setCreatedSkills] = useState<Skill[]>([]);
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// 用户切换后重新加载，旧请求不得把其他账号的数据写回当前面板。
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useEffect(() => {
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let active = true;
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presetApplyingRef.current = null;
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setPresetApplyingId("");
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setScenePresets([]);
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listSkillPresets()
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.then((result) => {
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if (active) setScenePresets(result.presets || []);
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})
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.catch(() => {
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if (active) setScenePresets([]);
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});
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return () => {
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active = false;
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};
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}, [userId]);
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// 用户自建技能也要能出现在推荐里：官方种子库与剧典走「已装」，自建走 scope=created。
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useEffect(() => {
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let active = true;
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setCreatedSkills([]);
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listSkills({ scope: "created", pageSize: 50 })
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.then((result) => {
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if (active) setCreatedSkills(result.skills || []);
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})
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.catch((cause) => {
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if (active) setMessages((current) => appendAgentError(current, "created-skills-error", cause, "自建技能读取失败"));
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});
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return () => {
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active = false;
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};
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}, [userId]);
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// 场景分桶：把「常用 / 推荐配方 / 场景技能」收进同一个维度，一级只显示分类。
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// 常用度：自建 > 已收藏 > 已装，同级按市场热度降序。
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const sceneBuckets = useMemo<AgentSceneBucket[]>(() => {
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const merged = new Map<string, Skill>();
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for (const skill of [...installedSkills, ...createdSkills]) {
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if (!merged.has(skill.skillId)) merged.set(skill.skillId, skill);
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}
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const rank = (skill: Skill) => (skill.isOwner ? 0 : skill.isLike ? 1 : 2);
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const frequent = [...merged.values()].sort((a, b) => rank(a) - rank(b) || (b.addedCount || 0) - (a.addedCount || 0));
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const pool = frequent.slice(0, 24);
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const sceneOf = (skill: Skill) => skill.tag || "others";
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return AGENT_SCENE_DEFS.map((definition) => ({
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key: definition.key,
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label: definition.label,
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presets: definition.key === "frequent" ? [] : scenePresets.filter((preset) => preset.scene === definition.key),
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skills: definition.key === "frequent" ? frequent.slice(0, 8) : pool.filter((skill) => sceneOf(skill) === definition.key),
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}));
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}, [installedSkills, createdSkills, scenePresets]);
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const applyScenePreset = useCallback(
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async (preset: SkillPreset) => {
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if (running || busy || presetApplyingRef.current || !historyHydrated || !pendingHydrated) return;
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const scope = conversationScope;
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const account = getActiveUserScope();
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const token = crypto.randomUUID();
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const isCurrent = () => presetApplyingRef.current === token && currentScope.current === scope && getActiveUserScope() === account;
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const missing = preset.skillIds.filter((id) => !installedSkillIds.has(id));
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presetApplyingRef.current = token;
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setPresetApplyingId(preset.presetId);
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try {
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// 安装是持久写操作；任何失败都不能谎称整个配方已挂载。
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for (const id of missing) {
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if (!isCurrent()) return;
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await addSkill(id);
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if (!isCurrent()) return;
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}
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const refreshed = await listAddedSkills();
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if (!isCurrent()) return;
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if (preset.skillIds.some((id) => !refreshed.skills.some((skill) => skill.skillId === id && skill.isAdded))) {
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throw new Error("技能库未确认全部预设技能已安装，请刷新后重试");
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}
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setSkills(refreshed.skills);
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setSelectedSkillIds(preset.skillIds);
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setMessages((current) =>
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appendUniqueMessage(current, {
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id: `preset-${preset.presetId}-${Date.now()}`,
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role: "system",
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text: `已按「${preset.name}」挂上 ${preset.skillIds.length} 个技能${missing.length ? `（新装 ${missing.length} 个）` : ""}。${preset.rationale}`,
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}),
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);
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} catch (cause) {
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if (isCurrent()) setMessages((current) => appendAgentError(current, `preset-${preset.presetId}`, cause, `「${preset.name}」挂载失败（已安装的技能仍在技能库中）`));
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} finally {
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if (presetApplyingRef.current === token) {
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presetApplyingRef.current = null;
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setPresetApplyingId("");
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}
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}
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},
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[busy, conversationScope, historyHydrated, installedSkillIds, pendingHydrated, running],
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);
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// 单个技能（含用户自建）挂载到本会话；未装的先补装，已挂的不重复追加。
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const applySingleSkill = useCallback(
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async (skill: Skill) => {
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if (running || busy || presetApplyingRef.current || !historyHydrated || !pendingHydrated) return;
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const scope = conversationScope;
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const account = getActiveUserScope();
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const token = crypto.randomUUID();
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const isCurrent = () => presetApplyingRef.current === token && currentScope.current === scope && getActiveUserScope() === account;
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presetApplyingRef.current = token;
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setPresetApplyingId(skill.skillId);
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try {
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if (!installedSkillIds.has(skill.skillId)) {
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await addSkill(skill.skillId);
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if (!isCurrent()) return;
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}
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const refreshed = await listAddedSkills();
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if (!isCurrent()) return;
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if (!refreshed.skills.some((item) => item.skillId === skill.skillId && item.isAdded)) {
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throw new Error("技能库未确认该技能已安装，请刷新后重试");
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}
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setSkills(refreshed.skills);
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setSelectedSkillIds((current) => (current.includes(skill.skillId) ? current : [...current, skill.skillId]));
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setMessages((current) =>
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appendUniqueMessage(current, {
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id: `skill-${skill.skillId}-${Date.now()}`,
|
||
role: "system",
|
||
text: `已把「${skill.skillName}」挂到本会话。用哪张卡交给 Agent 按任务检索。`,
|
||
}),
|
||
);
|
||
} catch (cause) {
|
||
if (isCurrent()) setMessages((current) => appendAgentError(current, `skill-${skill.skillId}`, cause, `「${skill.skillName}」挂载失败`));
|
||
} finally {
|
||
if (presetApplyingRef.current === token) {
|
||
presetApplyingRef.current = null;
|
||
setPresetApplyingId("");
|
||
}
|
||
}
|
||
},
|
||
[busy, conversationScope, historyHydrated, installedSkillIds, pendingHydrated, running],
|
||
);
|
||
const status = run?.status || "idle";
|
||
const statusLabel =
|
||
status === "waiting_approval" ? "等待审批" : status === "running" || status === "queued" ? "运行中" : status === "completed" ? "已完成" : status === "failed" ? "异常" : status === "cancelled" ? "已停止" : status === "rejected" ? "已拒绝" : "待命";
|
||
const statusColor = status === "failed" ? "#e66b6b" : status === "rejected" || status === "cancelled" ? theme.node.muted : status === "waiting_approval" ? "#d6a24a" : status === "running" || status === "queued" ? "#69c29b" : theme.node.muted;
|
||
|
||
useEffect(() => {
|
||
if (!prefillRequest || prefillRequest.id === lastPrefillIdRef.current) return;
|
||
lastPrefillIdRef.current = prefillRequest.id;
|
||
if (!prefillRequest.text.trim()) return;
|
||
setPrompt((current) => appendAgentPromptPrefill(current, prefillRequest.displayText || prefillRequest.text));
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||
prefilledSubmissionRef.current = prefillRequest;
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||
setPendingAutoSubmit(prefillRequest.autoSubmit ? prefillRequest : null);
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||
setView("chat");
|
||
}, [prefillRequest]);
|
||
|
||
useEffect(() => {
|
||
if (!open || view !== "chat") setSkillsOpen(false);
|
||
}, [open, view]);
|
||
|
||
const reloadProfile = useCallback(async () => {
|
||
const requestId = ++profileRequestRef.current;
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||
setProfileLoading(true);
|
||
setProfileError(undefined);
|
||
setProfileView(null);
|
||
try {
|
||
const result = await getAgentProfile({ projectId: domainProjectId, canvasId });
|
||
if (profileRequestRef.current === requestId) setProfileView(result);
|
||
} catch (cause) {
|
||
if (profileRequestRef.current === requestId) setProfileError(cause instanceof Error ? cause.message : String(cause));
|
||
} finally {
|
||
if (profileRequestRef.current === requestId) setProfileLoading(false);
|
||
}
|
||
}, [canvasId, domainProjectId]);
|
||
|
||
useEffect(() => {
|
||
void reloadProfile();
|
||
}, [reloadProfile]);
|
||
|
||
const saveProfile = async (input: { scope: AgentProfileScope; projectId?: string; canvasId?: string; content: string; revision: number }) => {
|
||
setProfileSaving(true);
|
||
try {
|
||
const result = await updateAgentProfile(input);
|
||
setProfileView(result);
|
||
setProfileError(undefined);
|
||
return result;
|
||
} finally {
|
||
setProfileSaving(false);
|
||
}
|
||
};
|
||
|
||
useEffect(() => {
|
||
const timer = window.setTimeout(() => setDebouncedSkillSearch(skillSearch.trim()), 250);
|
||
return () => window.clearTimeout(timer);
|
||
}, [skillSearch]);
|
||
|
||
useEffect(() => {
|
||
let active = true;
|
||
setSkills([]);
|
||
const refresh = () => {
|
||
void listAddedSkills()
|
||
.then((result) => {
|
||
if (!active) return;
|
||
setSkills(result.skills);
|
||
setMessages((current) => current.filter((message) => message.id !== "skills-load-error"));
|
||
})
|
||
.catch((cause) => {
|
||
if (active) setMessages((current) => appendAgentError(current, "skills-load-error", cause, "技能库读取失败"));
|
||
});
|
||
};
|
||
refresh();
|
||
window.addEventListener("canvas-skills-changed", refresh);
|
||
window.addEventListener("focus", refresh);
|
||
return () => {
|
||
active = false;
|
||
window.removeEventListener("canvas-skills-changed", refresh);
|
||
window.removeEventListener("focus", refresh);
|
||
};
|
||
}, [open, userId]);
|
||
|
||
useEffect(() => {
|
||
if (view !== "settings" && !skillsOpen) return;
|
||
let active = true;
|
||
setSkillsLoading(true);
|
||
void listSkills({
|
||
scope: "public",
|
||
...curationQuery(curationState.curation, platformCategory),
|
||
search: debouncedSkillSearch || undefined,
|
||
tag: skillsOpen && skillTag !== "all" ? skillTag : undefined,
|
||
pageSize: 20,
|
||
sort: "popular",
|
||
})
|
||
.then((result) => {
|
||
if (active) {
|
||
setMarketSkills(result.skills);
|
||
setSkillHasMore(result.hasMore);
|
||
setSkillPage(result.page);
|
||
setSkillCategories(result.categories);
|
||
}
|
||
})
|
||
.catch(() => {
|
||
if (active) setMarketSkills([]);
|
||
})
|
||
.finally(() => {
|
||
if (active) setSkillsLoading(false);
|
||
});
|
||
return () => {
|
||
active = false;
|
||
};
|
||
}, [view, skillsOpen, debouncedSkillSearch, skillTag, curationState.curation, platformCategory]);
|
||
|
||
useEffect(() => {
|
||
if (view !== "settings" && !skillsOpen) return;
|
||
let active = true;
|
||
void listSkillLibraryCategories("mine")
|
||
.then((result) => {
|
||
if (active) setLibraryCategories(result.categories);
|
||
})
|
||
.catch(() => {
|
||
if (active) setLibraryCategories([]);
|
||
});
|
||
return () => {
|
||
active = false;
|
||
};
|
||
}, [skillsOpen, userId, view]);
|
||
|
||
const loadMoreSkills = async () => {
|
||
const requestKey = skillBrowseKeyRef.current;
|
||
if (skillsLoading || skillPageRequestRef.current || !skillHasMore || skillSearch.trim() !== debouncedSkillSearch) return;
|
||
skillPageRequestRef.current = true;
|
||
setSkillsLoading(true);
|
||
try {
|
||
const result = await listSkills({
|
||
scope: "public",
|
||
...curationQuery(curationState.curation, platformCategory),
|
||
search: debouncedSkillSearch || undefined,
|
||
tag: skillsOpen && skillTag !== "all" ? skillTag : undefined,
|
||
page: skillPage + 1,
|
||
pageSize: 20,
|
||
sort: "popular",
|
||
});
|
||
if (requestKey !== skillBrowseKeyRef.current) return;
|
||
setMarketSkills((current) => [...current, ...result.skills.filter((skill) => !current.some((item) => item.skillId === skill.skillId))]);
|
||
setSkillCategories(result.categories);
|
||
setSkillPage(result.page);
|
||
setSkillHasMore(result.hasMore);
|
||
} finally {
|
||
skillPageRequestRef.current = false;
|
||
if (requestKey === skillBrowseKeyRef.current) setSkillsLoading(false);
|
||
}
|
||
};
|
||
|
||
useEffect(() => {
|
||
let active = true;
|
||
setHistoryHydrated(false);
|
||
setPendingHydrated(false);
|
||
pendingSubmission.current = null;
|
||
setBusy(false);
|
||
presetApplyingRef.current = null;
|
||
setPresetApplyingId("");
|
||
setConversations([]);
|
||
setRun(null);
|
||
setMessages([]);
|
||
setSelectedSkillIds([]);
|
||
setApproval(null);
|
||
setApprovalSubmitting(false);
|
||
approvalRequestRef.current = null;
|
||
setPrompt("");
|
||
void loadCloudAgentConversations(canvasId)
|
||
.then(async (document) => {
|
||
if (!active) return;
|
||
const current = document.conversations.find((conversation) => conversation.id === document.activeId) || document.conversations[0];
|
||
let initialSkillIds = current?.skillIds || [];
|
||
if (!document.conversations.length) {
|
||
try {
|
||
const defaults = await ensureDefaultCanvasAgentSkill();
|
||
if (!active) return;
|
||
setSkills(defaults.skills);
|
||
initialSkillIds = defaults.skills.some((skill) => skill.skillId === DEFAULT_CANVAS_AGENT_SKILL_ID && skill.isAdded)
|
||
? [DEFAULT_CANVAS_AGENT_SKILL_ID]
|
||
: [];
|
||
} catch (cause) {
|
||
if (active) setMessages((currentMessages) => appendAgentError(currentMessages, "default-skill-error", cause, "默认短剧技能未能安装，已保留空技能选择"));
|
||
}
|
||
}
|
||
setConversations(document.conversations);
|
||
if (current) {
|
||
setActiveConversationId(current.id);
|
||
setMessages(current.messages);
|
||
setRun(current.run);
|
||
setPermissionMode(current.permissionMode);
|
||
setSelectedSkillIds(initialSkillIds);
|
||
if (current.model) setModel(current.model);
|
||
const pending = await loadCloudAgentPendingSubmission(canvasId, current.id);
|
||
if (!active) return;
|
||
pendingSubmission.current = pending;
|
||
if (pending?.request) setPrompt(pending.displayText || pending.request.prompt);
|
||
} else {
|
||
const initialConversationId = nanoid();
|
||
const now = new Date().toISOString();
|
||
const initialConversation: CloudAgentConversation = {
|
||
id: initialConversationId,
|
||
title: "新对话",
|
||
messages: [],
|
||
run: null,
|
||
model: selectedModel || undefined,
|
||
permissionMode,
|
||
skillIds: initialSkillIds,
|
||
createdAt: now,
|
||
updatedAt: now,
|
||
};
|
||
setActiveConversationId(initialConversationId);
|
||
setConversations([initialConversation]);
|
||
setSelectedSkillIds(initialSkillIds);
|
||
pendingSubmission.current = null;
|
||
void saveCloudAgentConversations(canvasId, initialConversationId, [initialConversation]).catch((cause) => {
|
||
if (active) setMessages((currentMessages) => appendAgentError(currentMessages, "initial-conversation-save-error", cause, "新对话初始化保存失败，请重试后再发送"));
|
||
});
|
||
}
|
||
setPendingHydrated(true);
|
||
})
|
||
.catch((cause) => {
|
||
if (!active) return;
|
||
setMessages((current) => appendAgentError(current, "history-error", cause, "对话恢复失败，已暂停发送；请重新打开对话核对"));
|
||
})
|
||
.finally(() => {
|
||
if (active) setHistoryHydrated(true);
|
||
});
|
||
return () => {
|
||
active = false;
|
||
};
|
||
}, [canvasId, userId]);
|
||
|
||
useEffect(() => {
|
||
if (!historyHydrated) return;
|
||
if (!messages.length && !run) {
|
||
setConversations((current) => {
|
||
const existing = current.find((conversation) => conversation.id === activeConversationId);
|
||
if (!existing || existing.skillIds?.join("\0") === selectedSkillIds.join("\0")) return current;
|
||
const now = new Date().toISOString();
|
||
return current.map((conversation) => conversation.id === activeConversationId ? { ...conversation, skillIds: selectedSkillIds, updatedAt: now } : conversation);
|
||
});
|
||
return;
|
||
}
|
||
const now = new Date().toISOString();
|
||
setConversations((current) => {
|
||
const existing = current.find((conversation) => conversation.id === activeConversationId);
|
||
const next: CloudAgentConversation = {
|
||
id: activeConversationId,
|
||
title: cloudAgentConversationTitle(messages),
|
||
messages,
|
||
run,
|
||
model: selectedModel || undefined,
|
||
permissionMode,
|
||
skillIds: selectedSkillIds,
|
||
createdAt: existing?.createdAt || now,
|
||
updatedAt: now,
|
||
};
|
||
return [next, ...current.filter((conversation) => conversation.id !== activeConversationId)];
|
||
});
|
||
}, [activeConversationId, historyHydrated, messages, permissionMode, run, selectedModel, selectedSkillIds]);
|
||
|
||
useEffect(() => {
|
||
if (!historyHydrated) return;
|
||
const timer = window.setTimeout(() => {
|
||
void saveCloudAgentConversations(canvasId, activeConversationId, conversations);
|
||
}, 180);
|
||
return () => window.clearTimeout(timer);
|
||
}, [activeConversationId, canvasId, conversations, historyHydrated]);
|
||
|
||
useEffect(() => {
|
||
if (!run?.id) return;
|
||
lastSeqRef.current = 0;
|
||
return subscribeAgentEvents(
|
||
run.id,
|
||
(event) => {
|
||
// Only persisted agent events participate in the replay cursor.
|
||
// Snapshot-derived UI events intentionally use seq=0.
|
||
if (event.seq > 0) {
|
||
if (event.seq <= lastSeqRef.current) return;
|
||
if (event.seq > lastSeqRef.current + 1) canvasSyncRef.current?.reconcile();
|
||
lastSeqRef.current = event.seq;
|
||
}
|
||
setMessages((current) => current.some((item) => item.id === `stream-error-${run.id}`) ? current.filter((item) => item.id !== `stream-error-${run.id}`) : current);
|
||
setContextUsage((current) => reduceAgentContextUsage(current, event));
|
||
applyAgentEvent(event, setMessages, setRun, setApproval, setPrompt);
|
||
canvasSyncRef.current?.receive(event);
|
||
},
|
||
{
|
||
after: 0,
|
||
onConnectionChange: setConnectionStatus,
|
||
onError: (cause) => {
|
||
canvasSyncRef.current?.reconcile();
|
||
setMessages((current) => appendAgentError(current, `stream-error-${run.id}`, cause, "Agent 事件流已断开"));
|
||
// The observation channel failed, not the durable run. Keep
|
||
// identity and approval so reconnect/cancel/continue remain available.
|
||
setConnectionStatus("disconnected");
|
||
},
|
||
},
|
||
);
|
||
}, [run?.id, connectionEpoch]);
|
||
|
||
useEffect(() => {
|
||
if (!run?.id || connectionStatus !== "disconnected") return;
|
||
const reconnect = () => setConnectionEpoch((value) => value + 1);
|
||
window.addEventListener("online", reconnect);
|
||
return () => window.removeEventListener("online", reconnect);
|
||
}, [run?.id, connectionStatus]);
|
||
|
||
const interject = async (value: string) => {
|
||
const activeRun = run;
|
||
if (!value || !activeRun?.id || busy || connectionStatus !== "connected" || currentScope.current !== conversationScope || !historyHydrated) return;
|
||
const scope = conversationScope;
|
||
const messageId = `user-${crypto.randomUUID()}`;
|
||
setBusy(true);
|
||
try {
|
||
await sendAgentInterjection(activeRun.id, { text: value, messageId });
|
||
if (currentScope.current !== scope) return;
|
||
setPrompt("");
|
||
setMessages((current) => appendUniqueMessage(current, { id: messageId, role: "user", text: value, interjection: "sent" }));
|
||
} catch (cause) {
|
||
if (currentScope.current !== scope) return;
|
||
const status = (cause as { status?: number }).status;
|
||
setMessages((current) => appendAgentError(current, `interject-error-${activeConversationId}-${messageId}`, cause, "插话没有送达"));
|
||
if (status === 409) setPrompt(value);
|
||
} finally {
|
||
if (currentScope.current === scope) setBusy(false);
|
||
}
|
||
};
|
||
|
||
const submit = async (override?: string, options?: CloudAgentMessagePresentation & { requiresVision?: boolean }) => {
|
||
const draft = (override ?? prompt).trim();
|
||
const pendingRequest = pendingSubmission.current;
|
||
const prefilled = prefilledSubmissionRef.current;
|
||
const matchesPending = pendingRequest?.request && pendingRequest.displayText === draft;
|
||
const matchesPrefill = prefilled?.displayText === draft;
|
||
const value = matchesPending ? pendingRequest.request!.prompt : matchesPrefill ? prefilled!.text : draft;
|
||
options = matchesPending ? { ...options, displayText: pendingRequest.displayText, canvasReferenceNodeId: pendingRequest.canvasReferenceNodeId } : matchesPrefill ? prefilled! : options;
|
||
if (running) {
|
||
await interject(value);
|
||
return;
|
||
}
|
||
if (!value || busy || running || (run && connectionStatus !== "connected") || submissionRequestRef.current || !historyHydrated || !pendingHydrated || currentScope.current !== conversationScope) return;
|
||
const scope = conversationScope;
|
||
submissionRequestRef.current = true;
|
||
setBusy(true);
|
||
let accepted = false;
|
||
try {
|
||
const effectiveModel = options?.requiresVision ? selectImageInspectionModel(config, selectedModel) : selectedModel;
|
||
if (options?.requiresVision && !effectiveModel) throw new Error("当前没有配置支持图片输入的文本模型，请在模型能力设置中为一个文本模型开启图片输入后重试");
|
||
const pending = pendingSubmission.current;
|
||
// An ambiguous previous POST owns its body/key until reconciled.
|
||
// Editing model settings or prompt must not silently create a new charge.
|
||
if (pending?.request && pending.request.prompt !== value) throw new Error("上一条请求结果待确认，请先原样重试上一条消息，再发送新要求");
|
||
if (!pending?.request) {
|
||
if (profileLoading) throw new Error("正在确认长期偏好快照，请稍后再发送");
|
||
if (!profileView || profileError) throw new Error("长期偏好快照尚未确认，请重新读取后再发送");
|
||
const capabilities = await getAgentCapabilities();
|
||
if (currentScope.current !== scope) return;
|
||
if (!capabilities.permissionModes.includes(permissionMode)) throw new Error("当前后端不支持所选 Agent 权限，请更新后端");
|
||
if (selectedSkillIds.length && !capabilities.skills) throw new Error("当前后端尚未接入技能库");
|
||
await saveRemoteUserDataNow();
|
||
if (currentScope.current !== scope) return;
|
||
const agentConfig = { ...config, model: effectiveModel };
|
||
const requestConfig = resolveModelRequestConfig(agentConfig, effectiveModel);
|
||
const logicalModelId = logicalModelIDForConfig(agentConfig);
|
||
const input = {
|
||
canvasId,
|
||
prompt: value,
|
||
reasoningMode,
|
||
profileRevision: profileView.revision,
|
||
model: modelOptionName(effectiveModel) || undefined,
|
||
...(logicalModelId ? { logicalModelId } : requestConfig.channelId ? { channelId: requestConfig.channelId, channelModelKey: modelOptionName(effectiveModel) || undefined } : {}),
|
||
skillIds: [...new Set([...selectedSkillIds, ...resolveSkillMentions(value, installedSkills).map((skill) => skill.skillId)])],
|
||
focusNodeIds: selectedNodeIds.length <= 8 ? selectedNodeIds : [],
|
||
permissionMode,
|
||
contextScope,
|
||
budget: { maxCredits: positiveNumber(maxCredits), maxGenerationTasks: permissionMode === "read_only" ? 0 : Number(maxGenerationTasks), maxVideoSeconds: permissionMode === "read_only" ? 0 : Number(maxVideoSeconds) },
|
||
};
|
||
const fingerprint = JSON.stringify({ scope, parent: run?.id, input });
|
||
if (pending && pending.fingerprint !== fingerprint) throw new Error("上一条请求尚未确认，请恢复原消息与设置后核对，不能覆盖原幂等记录");
|
||
const key = pending?.key || crypto.randomUUID();
|
||
const next = { fingerprint, key, request: { ...input, idempotencyKey: key }, parentRunId: run?.id, messageId: `user-${key}`, displayText: options?.displayText, canvasReferenceNodeId: options?.canvasReferenceNodeId };
|
||
// Persist before sending. A failed local save must not submit a request
|
||
// whose recovery identity will disappear on reload.
|
||
await saveCloudAgentPendingSubmission(canvasId, activeConversationId, next);
|
||
if (currentScope.current !== scope) return;
|
||
pendingSubmission.current = next;
|
||
}
|
||
const submission = pendingSubmission.current!;
|
||
const request = submission.request!;
|
||
const formAnswer = parseCloudAgentFormAnswer(request.prompt);
|
||
const nextMessages = appendUniqueMessage(messages, {
|
||
id: submission.messageId || `user-${submission.key}`,
|
||
role: "user",
|
||
text: formAnswer ? "已确认创作方向" : submission.displayText || request.prompt,
|
||
...(formAnswer ? { formAnswer } : {}),
|
||
...(submission.canvasReferenceNodeId ? { canvasReferenceNodeId: submission.canvasReferenceNodeId } : {}),
|
||
});
|
||
const now = new Date().toISOString();
|
||
const existing = conversations.find((item) => item.id === activeConversationId);
|
||
// Persist a discoverable conversation before POST as well as its key;
|
||
// otherwise a reload of a brand-new chat can orphan the pending record.
|
||
await saveCloudAgentConversations(canvasId, activeConversationId, [
|
||
{
|
||
id: activeConversationId,
|
||
title: cloudAgentConversationTitle(nextMessages),
|
||
messages: nextMessages,
|
||
run,
|
||
model: request.model || effectiveModel || undefined,
|
||
permissionMode,
|
||
skillIds: selectedSkillIds,
|
||
createdAt: existing?.createdAt || now,
|
||
updatedAt: now,
|
||
},
|
||
...conversations.filter((item) => item.id !== activeConversationId),
|
||
]);
|
||
if (currentScope.current !== scope) return;
|
||
setPrompt("");
|
||
prefilledSubmissionRef.current = null;
|
||
setMessages(nextMessages);
|
||
const result = submission.parentRunId ? await sendAgentMessage(submission.parentRunId, request) : await createAgentRun(request);
|
||
accepted = true;
|
||
if (currentScope.current === scope) {
|
||
setRun(result.run);
|
||
}
|
||
await clearCloudAgentPendingSubmission(canvasId, activeConversationId);
|
||
if (currentScope.current === scope) pendingSubmission.current = null;
|
||
} catch (cause) {
|
||
if (currentScope.current !== scope) return;
|
||
if (!accepted) {
|
||
setPrompt(value);
|
||
const status = (cause as { status?: number }).status;
|
||
if (status && [400, 401, 403, 404, 422].includes(status)) {
|
||
// These admission responses explicitly rejected the write.
|
||
// Transport errors and conflicts retain the pending identity.
|
||
try {
|
||
await clearCloudAgentPendingSubmission(canvasId, activeConversationId);
|
||
pendingSubmission.current = null;
|
||
} catch (storageError) {
|
||
setMessages((current) => appendAgentError(current, `pending-storage-${activeConversationId}`, storageError, "提交记录更新失败"));
|
||
}
|
||
}
|
||
}
|
||
setMessages((current) => appendAgentError(current, `submit-error-${activeConversationId}`, cause, agentSubmissionErrorTitle(cause, accepted)));
|
||
} finally {
|
||
submissionRequestRef.current = false;
|
||
if (currentScope.current === scope) setBusy(false);
|
||
}
|
||
};
|
||
|
||
useEffect(() => {
|
||
const pending = pendingAutoSubmit;
|
||
if (!pending || !historyHydrated || !pendingHydrated || profileLoading || !profileView || profileError || busy || running) return;
|
||
setPendingAutoSubmit(null);
|
||
void submit(pending.text, { requiresVision: pending.requiresVision, displayText: pending.displayText, canvasReferenceNodeId: pending.canvasReferenceNodeId });
|
||
}, [busy, historyHydrated, pendingAutoSubmit, pendingHydrated, profileError, profileLoading, profileView, running]);
|
||
|
||
const stop = async () => {
|
||
const activeRun = run;
|
||
if (!activeRun?.id || stopping) return;
|
||
setStopping(true);
|
||
try {
|
||
await cancelAgentRun(activeRun.id);
|
||
const snapshot = await getAgentRun(activeRun.id, AbortSignal.timeout(5_000));
|
||
if (currentScope.current === conversationScope) {
|
||
setRun((current) => (current?.id === activeRun.id ? snapshot.run : current));
|
||
if (!snapshot.run.approval) setApproval(null);
|
||
setConnectionEpoch((value) => value + 1);
|
||
}
|
||
} catch (cause) {
|
||
if (currentScope.current === conversationScope) {
|
||
// An ambiguous cancellation is not proof of a terminal run. Keep
|
||
// the run and approval until the server confirms their state.
|
||
setConnectionEpoch((value) => value + 1);
|
||
setMessages((current) => appendAgentError(current, `cancel-${activeRun.id}`, cause, "取消结果未确认，正在重新核对运行状态"));
|
||
}
|
||
} finally {
|
||
setStopping(false);
|
||
}
|
||
};
|
||
|
||
const submitApproval = async (decision: "approve" | "reject", mediaSettings?: AgentMediaSettings) => {
|
||
if (!run || !approval || connectionStatus !== "connected" || approvalRequestRef.current === approval.approvalId) return;
|
||
const runId = run.id;
|
||
const approvalId = approval.approvalId;
|
||
const scope = conversationScope;
|
||
approvalRequestRef.current = approvalId;
|
||
setApprovalSubmitting(true);
|
||
try {
|
||
if (decision === "approve") await saveRemoteUserDataNow();
|
||
if (currentScope.current !== scope) return;
|
||
await decideAgentApproval(runId, approvalId, decision, approval.reason, AbortSignal.timeout(15_000), mediaSettings);
|
||
if (currentScope.current === scope) {
|
||
setApproval((current) => (current?.approvalId === approvalId ? null : current));
|
||
setRun((current) =>
|
||
current?.id === runId && current.status === "waiting_approval" && (!current.approval || current.approval.approvalId === approvalId)
|
||
? { ...current, status: decision === "reject" ? "rejected" : "running", approval: undefined }
|
||
: current,
|
||
);
|
||
}
|
||
} catch (cause) {
|
||
if (currentScope.current !== scope) return;
|
||
// A timed-out response is ambiguous: query the durable decision before
|
||
// asking the user to retry. The backend treats identical decisions idempotently.
|
||
try {
|
||
const snapshot = await getAgentRun(runId, AbortSignal.timeout(5_000));
|
||
const decided = snapshot.run.events?.some(
|
||
(event) => event.type === "approval_decided" && event.payload.approvalId === approvalId && event.payload.decision === decision && (!mediaSettings || agentApprovalMatchesSettings(event.payload.arguments, mediaSettings)),
|
||
);
|
||
if (decided) {
|
||
setApproval((current) => (current?.approvalId === approvalId ? null : current));
|
||
setRun(snapshot.run);
|
||
return;
|
||
}
|
||
} catch {
|
||
// Preserve the pending approval so the same decision can be retried.
|
||
}
|
||
setMessages((current) => appendAgentError(current, `approval-error-${Date.now()}`, cause, "审批未确认，请重试"));
|
||
} finally {
|
||
if (approvalRequestRef.current === approvalId) approvalRequestRef.current = null;
|
||
if (currentScope.current === scope) setApprovalSubmitting(false);
|
||
}
|
||
};
|
||
|
||
const installSkill = async (skill: Skill) => {
|
||
if (skill.isAdded) return;
|
||
try {
|
||
const result = await addSkill(skill.skillId);
|
||
setSkills((current) => [...current.filter((item) => item.skillId !== skill.skillId), result.skill]);
|
||
setMarketSkills((current) => current.map((item) => (item.skillId === skill.skillId ? result.skill : item)));
|
||
setSelectedSkillIds((current) => (current.includes(skill.skillId) ? current : [...current, skill.skillId]));
|
||
} catch (cause) {
|
||
setMessages((current) => appendAgentError(current, `skill-error-${Date.now()}`, cause, "添加 Skill 失败"));
|
||
}
|
||
};
|
||
|
||
const setModel = (model: string) => {
|
||
updateConfig("textModel", model);
|
||
updateConfig("model", model);
|
||
};
|
||
|
||
const newConversation = () => {
|
||
const id = nanoid();
|
||
const now = new Date().toISOString();
|
||
const inheritedSkillIds = [...selectedSkillIds];
|
||
currentScope.current = `${canvasId}:${id}`;
|
||
presetApplyingRef.current = null;
|
||
setPresetApplyingId("");
|
||
setPendingHydrated(true);
|
||
setBusy(false);
|
||
pendingSubmission.current = null;
|
||
approvalRequestRef.current = null;
|
||
setApprovalSubmitting(false);
|
||
setActiveConversationId(id);
|
||
setRun(null);
|
||
setMessages([]);
|
||
// Skills are a user-selected Agent workspace setting. Keep them when
|
||
// starting a fresh conversation so the skill picker does not appear to
|
||
// lose the skills the user just enabled.
|
||
setSelectedSkillIds(inheritedSkillIds);
|
||
setPrompt("");
|
||
setApproval(null);
|
||
lastSeqRef.current = 0;
|
||
// Persist the blank conversation immediately. Otherwise the active id
|
||
// can point at no conversation after a reload, losing the inherited
|
||
// skill selection before the first message is sent.
|
||
setConversations((current) => [
|
||
{
|
||
id,
|
||
title: "新对话",
|
||
messages: [],
|
||
run: null,
|
||
model: selectedModel || undefined,
|
||
permissionMode,
|
||
skillIds: inheritedSkillIds,
|
||
createdAt: now,
|
||
updatedAt: now,
|
||
},
|
||
...current.filter((conversation) => conversation.messages.length > 0 || conversation.run),
|
||
]);
|
||
setView("chat");
|
||
};
|
||
|
||
const openConversation = (conversation: CloudAgentConversation) => {
|
||
currentScope.current = `${canvasId}:${conversation.id}`;
|
||
presetApplyingRef.current = null;
|
||
setPresetApplyingId("");
|
||
setPendingHydrated(false);
|
||
setBusy(false);
|
||
pendingSubmission.current = null;
|
||
approvalRequestRef.current = null;
|
||
setApprovalSubmitting(false);
|
||
setActiveConversationId(conversation.id);
|
||
setRun(conversation.run);
|
||
setMessages(conversation.messages);
|
||
setPermissionMode(conversation.permissionMode);
|
||
setSelectedSkillIds(conversation.skillIds || []);
|
||
setApproval(null);
|
||
setPrompt("");
|
||
if (conversation.model) setModel(conversation.model);
|
||
setView("chat");
|
||
void loadCloudAgentPendingSubmission(canvasId, conversation.id)
|
||
.then((pending) => {
|
||
if (currentScope.current === `${canvasId}:${conversation.id}`) {
|
||
pendingSubmission.current = pending;
|
||
setPendingHydrated(true);
|
||
if (pending?.request) setPrompt(pending.displayText || pending.request.prompt);
|
||
}
|
||
})
|
||
.catch((cause) => {
|
||
if (currentScope.current === `${canvasId}:${conversation.id}`) setMessages((current) => appendAgentError(current, `pending-${conversation.id}`, cause, "待确认请求读取失败"));
|
||
});
|
||
};
|
||
const deleteConversation = (id: string) => {
|
||
const next = conversations.filter((item) => item.id !== id);
|
||
setConversations(next);
|
||
if (id === activeConversationId) newConversation();
|
||
void saveCloudAgentConversations(canvasId, id === activeConversationId ? null : activeConversationId, next);
|
||
};
|
||
|
||
return (
|
||
<>
|
||
<AgentLauncher theme={theme} statusColor={statusColor} approvalPending={Boolean(approval)} reducedMotion={Boolean(reducedMotion)} hidden={open} onOpen={onOpen} />
|
||
<AnimatePresence>
|
||
{open ? (
|
||
<motion.aside
|
||
initial={reducedMotion ? { opacity: 0 } : { opacity: 0, y: 20, scale: 0.975 }}
|
||
animate={{ opacity: 1, y: 0, scale: 1 }}
|
||
exit={reducedMotion ? { opacity: 0 } : { opacity: 0, y: 12, scale: 0.985 }}
|
||
transition={{ duration: reducedMotion ? 0 : 0.26, ease: [0.16, 1, 0.3, 1] }}
|
||
className="canvas-agent-panel fixed z-[calc(var(--z-toast)+1)] flex min-w-0 flex-col overflow-hidden"
|
||
style={
|
||
{ ...panelLayout.style, "--agent-surface-base": theme.node.panel, "--agent-ink": theme.node.text, "--agent-accent": theme.accent.primary, "--agent-shadow-color": theme.spatial.shadow } as CSSProperties &
|
||
Record<`--${string}`, string>
|
||
}
|
||
aria-label="Agent 工作台"
|
||
data-canvas-no-zoom
|
||
data-canvas-wheel-scroll
|
||
{...panelLayout.pointerHandlers}
|
||
onWheel={(event) => event.stopPropagation()}
|
||
>
|
||
<div data-agent-resize="north" className="absolute inset-x-5 top-0 z-10 hidden h-2 cursor-n-resize touch-none sm:block" />
|
||
<div data-agent-resize="west" className="absolute bottom-5 left-0 top-5 z-10 hidden w-2 cursor-w-resize touch-none sm:block" />
|
||
<button
|
||
type="button"
|
||
aria-label="调整 Agent 面板大小"
|
||
title="拖动调整宽高，也可用方向键调整"
|
||
data-agent-resize="northwest"
|
||
className="agent-panel-resize-corner absolute left-2 top-2 z-10 hidden size-5 cursor-nw-resize touch-none place-items-center rounded-md opacity-60 transition-opacity hover:opacity-100 focus-visible:outline focus-visible:outline-2 sm:grid"
|
||
onKeyDown={panelLayout.onResizeKeyDown}
|
||
style={{ color: theme.node.muted }}
|
||
>
|
||
<MoveDiagonal2 className="size-3" aria-hidden="true" />
|
||
</button>
|
||
<AnimatePresence mode="wait" initial={false}>
|
||
{view === "settings" ? (
|
||
<motion.div key="settings" className="flex min-h-0 flex-1" initial={{ opacity: 0, x: 18 }} animate={{ opacity: 1, x: 0 }} exit={{ opacity: 0, x: 18 }} transition={{ duration: reducedMotion ? 0 : 0.18 }}>
|
||
<CanvasCloudAgentSettings
|
||
theme={theme}
|
||
config={config}
|
||
selectedModel={selectedModel}
|
||
permissionMode={permissionMode}
|
||
contextScope={contextScope}
|
||
nodeCount={nodeCount}
|
||
installedSkills={installedSkills}
|
||
marketSkills={marketSkills}
|
||
selectedSkillIds={selectedSkillIds}
|
||
skillSearch={skillSearch}
|
||
skillsLoading={skillsLoading}
|
||
skillHasMore={skillHasMore}
|
||
maxCredits={maxCredits}
|
||
maxGenerationTasks={maxGenerationTasks}
|
||
maxVideoSeconds={maxVideoSeconds}
|
||
onBack={() => setView("chat")}
|
||
onModelChange={setModel}
|
||
onPermissionChange={setPermissionMode}
|
||
reasoningMode={reasoningMode}
|
||
onReasoningModeChange={setReasoningMode}
|
||
profileView={profileView}
|
||
profileLoading={profileLoading}
|
||
profileSaving={profileSaving}
|
||
profileError={profileError}
|
||
projectId={domainProjectId}
|
||
canvasId={canvasId}
|
||
onReloadProfile={reloadProfile}
|
||
onSaveProfile={saveProfile}
|
||
onContextToggle={(value) => setContextScope((current) => (current.includes(value) ? current.filter((item) => item !== value) : [...current, value]))}
|
||
onSkillSearch={setSkillSearch}
|
||
onSkillToggle={(id) => setSelectedSkillIds((current) => (current.includes(id) ? current.filter((item) => item !== id) : [...current, id]))}
|
||
onSkillInstall={installSkill}
|
||
onLoadMoreSkills={loadMoreSkills}
|
||
onMaxCreditsChange={setMaxCredits}
|
||
onMaxGenerationTasksChange={setMaxGenerationTasks}
|
||
onMaxVideoSecondsChange={setMaxVideoSeconds}
|
||
/>
|
||
</motion.div>
|
||
) : view === "history" ? (
|
||
<motion.div key="history" className="flex min-h-0 flex-1" initial={{ opacity: 0, x: 18 }} animate={{ opacity: 1, x: 0 }} exit={{ opacity: 0, x: 18 }} transition={{ duration: reducedMotion ? 0 : 0.18 }}>
|
||
<AgentHistory conversations={conversations} activeConversationId={activeConversationId} theme={theme} onBack={() => setView("chat")} onNew={newConversation} onOpen={openConversation} onDelete={deleteConversation} />
|
||
</motion.div>
|
||
) : (
|
||
<motion.div key="chat" className="flex min-h-0 flex-1 flex-col" initial={{ opacity: 0, x: -12 }} animate={{ opacity: 1, x: 0 }} exit={{ opacity: 0, x: -12 }} transition={{ duration: reducedMotion ? 0 : 0.18 }}>
|
||
<AgentHeader
|
||
theme={theme}
|
||
hasMessages={messages.length > 0}
|
||
statusLabel={statusLabel}
|
||
statusColor={statusColor}
|
||
nodeCount={nodeCount}
|
||
onNew={newConversation}
|
||
onHistory={() => setView("history")}
|
||
exporting={exporting}
|
||
onExport={() => {
|
||
if (exporting) return;
|
||
setExporting(true);
|
||
void (async () => {
|
||
let snapshot = run;
|
||
let snapshotError: string | undefined;
|
||
if (run?.id) {
|
||
try {
|
||
snapshot = (await getAgentRun(run.id, AbortSignal.timeout(15_000))).run;
|
||
} catch (cause) {
|
||
snapshotError = cause instanceof Error ? cause.message : String(cause);
|
||
}
|
||
}
|
||
const text = buildAgentDebugExport({ canvasId, conversationId: activeConversationId, messages, run: snapshot, approval, model: selectedModel, permissionMode, snapshotError });
|
||
saveAs(new Blob([text], { type: "application/json;charset=utf-8" }), `agent-debug-${activeConversationId}-${Date.now()}.json`);
|
||
})()
|
||
.catch((cause) => setMessages((current) => appendAgentError(current, `export-${Date.now()}`, cause, "导出失败")))
|
||
.finally(() => setExporting(false));
|
||
}}
|
||
onSettings={() => setView("settings")}
|
||
onResetLayout={panelLayout.reset}
|
||
onCollapse={onCollapse}
|
||
/>
|
||
{run && connectionStatus !== "connected" ? (
|
||
<div role="status" className="flex items-center justify-between gap-2 px-5 py-2 text-xs" style={{ color: theme.node.muted }}>
|
||
<span>{connectionStatus === "disconnected" ? "连接已断开，服务端任务可能仍在执行；运行记录已保留" : "正在连接并校准运行状态…"}</span>
|
||
{connectionStatus === "disconnected" ? (
|
||
<Button size="small" onClick={() => setConnectionEpoch((value) => value + 1)}>
|
||
重新连接
|
||
</Button>
|
||
) : null}
|
||
</div>
|
||
) : null}
|
||
<AgentConversation
|
||
key={activeConversationId}
|
||
theme={theme}
|
||
messages={messages}
|
||
onFocusNode={onFocusNode}
|
||
references={[...references, ...buildSkillMentionReferences(installedSkills)]}
|
||
busy={busy || running}
|
||
approval={approval}
|
||
approvalTargetGenerating={approval ? agentApprovalTargetGenerating(approval.detail, canvasNodes, runningNodeId) : undefined}
|
||
nodeCount={nodeCount}
|
||
approvalSubmitting={approvalSubmitting || connectionStatus !== "connected"}
|
||
onChooseSkill={() => setSkillsOpen(true)}
|
||
onDraftPrompt={(draft) => setPrompt((current) => (current.trim() ? `${current}\n\n${draft}` : draft))}
|
||
onApprovalReasonChange={(reason) => setApproval((current) => (current ? { ...current, reason } : current))}
|
||
onApprove={(settings) => void submitApproval("approve", settings)}
|
||
onReject={() => void submitApproval("reject")}
|
||
/>
|
||
{planVisible ? (
|
||
<AgentPlanBar
|
||
items={planItems}
|
||
theme={theme}
|
||
minimized={planMinimized}
|
||
terminal={planTerminal || Boolean(run && ["completed", "failed", "cancelled", "rejected"].includes(run.status))}
|
||
waitingUser={Boolean(pendingQuestion)}
|
||
onToggle={() => setPlanMinimized((value) => !value)}
|
||
/>
|
||
) : null}
|
||
{historyHydrated && !messages.some((message) => message.role === "user" || message.role === "assistant") && !run ? (
|
||
<AgentSceneCapsules
|
||
buckets={sceneBuckets}
|
||
installedIds={installedSkillIds}
|
||
theme={theme}
|
||
disabled={busy || running || !pendingHydrated || Boolean(presetApplyingId)}
|
||
onPick={(preset) => void applyScenePreset(preset)}
|
||
onPickSkill={(skill) => void applySingleSkill(skill)}
|
||
/>
|
||
) : null}
|
||
{pendingQuestion ? <AgentQuestionBar question={pendingQuestion} theme={theme} disabled={approvalSubmitting || connectionStatus !== "connected"} onAnswer={(label) => void submit(label)} /> : null}
|
||
<AgentChatComposer
|
||
prompt={prompt}
|
||
disabled={Boolean(run && connectionStatus !== "connected") || !historyHydrated || !pendingHydrated}
|
||
sending={busy}
|
||
running={running}
|
||
placeholder={running ? "运行中可直接插话，会在它下一步生效" : "输入操作指导；用 @ 引用画布节点，用 / 或 、 引用 Skills"}
|
||
theme={theme}
|
||
onPromptChange={setPrompt}
|
||
onSubmit={() => void submit()}
|
||
onStop={run?.id && running ? stop : undefined}
|
||
stopping={stopping}
|
||
references={[...references, ...buildSkillMentionReferences(installedSkills)]}
|
||
slashSkills={installedSkills}
|
||
includeAssetLibrary={false}
|
||
submitAccessory={<AgentContextRing view={presentAgentContextUsage(contextUsage)} />}
|
||
footer={connectorsVisible ? <AgentConnectorsBar onClose={() => setConnectorsVisible(false)} /> : null}
|
||
left={
|
||
<ComposerControls
|
||
config={config}
|
||
selectedModel={selectedModel}
|
||
permissionMode={permissionMode}
|
||
theme={theme}
|
||
onModelChange={setModel}
|
||
onPermissionChange={setPermissionMode}
|
||
skillsOpen={skillsOpen}
|
||
onSkillsOpenChange={setSkillsOpen}
|
||
selectedSkillCount={selectedSkillIds.length}
|
||
/>
|
||
}
|
||
/>
|
||
</motion.div>
|
||
)}
|
||
</AnimatePresence>
|
||
</motion.aside>
|
||
) : null}
|
||
</AnimatePresence>
|
||
<CanvasAgentSkillLibraryModal
|
||
curationState={curationState}
|
||
platformCategory={platformCategory}
|
||
onPlatformCategoryChange={(value) => { setPlatformCategory(value); setSkillTag("all"); }}
|
||
open={skillsOpen}
|
||
theme={theme}
|
||
installedSkills={installedSkills}
|
||
marketSkills={marketSkills}
|
||
selectedSkillIds={selectedSkillIds}
|
||
categories={skillCategories}
|
||
libraryCategories={libraryCategories}
|
||
category={skillTag}
|
||
search={skillSearch}
|
||
loading={skillsLoading}
|
||
hasMore={skillHasMore}
|
||
onClose={() => setSkillsOpen(false)}
|
||
onCategoryChange={setSkillTag}
|
||
onSearch={setSkillSearch}
|
||
onToggle={(id) =>
|
||
setSelectedSkillIds((current) => {
|
||
if (current.includes(id)) return current.filter((item) => item !== id);
|
||
return [...current, id];
|
||
})
|
||
}
|
||
onInstall={installSkill}
|
||
onLoadMore={loadMoreSkills}
|
||
/>
|
||
</>
|
||
);
|
||
}
|