mirror of
https://github.com/basketikun/infinite-canvas.git
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yu
163 lines
13 KiB
TypeScript
163 lines
13 KiB
TypeScript
import { z } from "zod";
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const recordSchema = z.record(z.unknown());
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const positionSchema = z.object({ x: z.number(), y: z.number() });
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const viewportSchema = z.object({ x: z.number(), y: z.number(), k: z.number() });
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const nodeTypeSchema = z.enum(["image", "text", "config", "video", "audio"]);
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const generationModeSchema = z.enum(["text", "image", "video", "audio"]);
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export const toolNames = [
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"site_navigate",
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"canvas_list_projects",
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"canvas_get_state",
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"canvas_get_selection",
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"canvas_export_snapshot",
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"canvas_apply_ops",
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"canvas_create_node",
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"canvas_create_attachment_nodes",
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"canvas_create_text_node",
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"canvas_create_text_nodes",
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"canvas_create_config_node",
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"canvas_create_image_prompt_flow",
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"canvas_create_generation_flow",
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"canvas_generate_text",
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"canvas_generate_image",
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"canvas_generate_video",
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"canvas_generate_audio",
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"canvas_update_node",
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"canvas_update_node_text",
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"canvas_move_nodes",
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"canvas_resize_node",
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"canvas_delete_nodes",
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"canvas_connect_nodes",
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"canvas_select_nodes",
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"canvas_set_viewport",
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"canvas_run_generation",
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"generation_get_status",
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"workbench_image_get_config",
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"workbench_image_generate",
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"workbench_video_get_config",
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"workbench_video_generate",
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"prompts_search",
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"assets_list",
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"assets_add",
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] as const;
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export type ToolName = (typeof toolNames)[number];
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export const canvasOpSchema = z.discriminatedUnion("type", [
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z.object({ type: z.literal("add_node"), nodeType: nodeTypeSchema.optional(), id: z.string().optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), position: positionSchema.optional(), metadata: recordSchema.optional() }).passthrough(),
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z.object({ type: z.literal("update_node"), id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }).passthrough(),
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z.object({ type: z.literal("delete_node"), id: z.string().optional(), ids: z.array(z.string()).optional() }).passthrough(),
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z.object({ type: z.literal("delete_connections"), id: z.string().optional(), ids: z.array(z.string()).optional(), all: z.boolean().optional() }).passthrough(),
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z.object({ type: z.literal("connect_nodes"), id: z.string().optional(), fromNodeId: z.string(), toNodeId: z.string() }).passthrough(),
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z.object({ type: z.literal("set_viewport"), viewport: viewportSchema }).passthrough(),
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z.object({ type: z.literal("select_nodes"), ids: z.array(z.string()) }).passthrough(),
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z.object({ type: z.literal("run_generation"), nodeId: z.string(), mode: generationModeSchema.optional(), prompt: z.string().optional() }).passthrough(),
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]);
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const textNodeSchema = z.object({
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text: z.string(),
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title: z.string().optional(),
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x: z.number().optional(),
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y: z.number().optional(),
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width: z.number().optional(),
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height: z.number().optional(),
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});
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const generationOptionsSchema = z.object({
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model: z.string().optional(),
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size: z.string().optional(),
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quality: z.string().optional(),
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count: z.number().optional(),
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seconds: z.string().optional(),
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vquality: z.string().optional(),
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generateAudio: z.string().optional(),
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watermark: z.string().optional(),
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audioVoice: z.string().optional(),
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audioFormat: z.string().optional(),
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audioSpeed: z.string().optional(),
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audioInstructions: z.string().optional(),
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});
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const generationFlowSchema = z.object({
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prompt: z.string(),
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title: z.string().optional(),
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x: z.number().optional(),
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y: z.number().optional(),
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referenceNodeIds: z.array(z.string()).optional(),
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});
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export const toolInputSchemas = {
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site_navigate: z.object({ path: z.string() }),
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canvas_list_projects: z.object({ keyword: z.string().optional(), page: z.number().optional(), pageSize: z.number().optional() }),
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canvas_get_state: z.object({}).passthrough(),
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canvas_get_selection: z.object({}).passthrough(),
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canvas_export_snapshot: z.object({}).passthrough(),
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canvas_apply_ops: z.object({ ops: z.array(canvasOpSchema) }),
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canvas_create_node: z.object({ nodeType: nodeTypeSchema, title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), metadata: recordSchema.optional() }),
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canvas_create_attachment_nodes: z.object({ attachmentIds: z.array(z.string()).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).optional() }),
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canvas_create_text_node: z.object({ text: z.string().optional(), x: z.number().optional(), y: z.number().optional(), title: z.string().optional(), width: z.number().optional(), height: z.number().optional() }),
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canvas_create_text_nodes: z.object({ items: z.array(textNodeSchema).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).optional() }),
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canvas_create_config_node: z.object({ prompt: z.string().optional(), mode: generationModeSchema.optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
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canvas_create_image_prompt_flow: z.object({ prompt: z.string(), x: z.number().optional(), y: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
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canvas_create_generation_flow: generationFlowSchema.extend({ mode: generationModeSchema.optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
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canvas_generate_text: generationFlowSchema.merge(generationOptionsSchema),
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canvas_generate_image: generationFlowSchema.merge(generationOptionsSchema),
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canvas_generate_video: generationFlowSchema.merge(generationOptionsSchema),
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canvas_generate_audio: generationFlowSchema.merge(generationOptionsSchema),
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canvas_update_node: z.object({ id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }),
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canvas_update_node_text: z.object({ id: z.string(), text: z.string(), title: z.string().optional() }),
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canvas_move_nodes: z.object({ items: z.array(z.object({ id: z.string(), x: z.number().optional(), y: z.number().optional(), dx: z.number().optional(), dy: z.number().optional() })).min(1) }),
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canvas_resize_node: z.object({ id: z.string(), width: z.number(), height: z.number(), freeResize: z.boolean().optional() }),
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canvas_delete_nodes: z.object({ ids: z.array(z.string()).min(1) }),
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canvas_connect_nodes: z.object({ connections: z.array(z.object({ fromNodeId: z.string(), toNodeId: z.string() })).min(1) }),
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canvas_select_nodes: z.object({ ids: z.array(z.string()) }),
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canvas_set_viewport: z.object({ viewport: viewportSchema }),
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canvas_run_generation: z.object({ nodeId: z.string(), mode: generationModeSchema.optional(), prompt: z.string().optional() }),
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generation_get_status: z.object({ scope: z.enum(["all", "canvas", "image", "video"]).optional(), taskId: z.string().optional(), nodeIds: z.array(z.string()).optional(), limit: z.number().optional() }),
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workbench_image_get_config: z.object({}).passthrough(),
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workbench_image_generate: z.object({ prompt: z.string(), model: z.string().optional(), quality: z.string().optional(), size: z.string().optional(), count: z.number().optional(), run: z.boolean().optional() }),
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workbench_video_get_config: z.object({}).passthrough(),
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workbench_video_generate: z.object({ prompt: z.string(), model: z.string().optional(), size: z.string().optional(), seconds: z.string().optional(), resolution: z.string().optional(), generateAudio: z.boolean().optional(), watermark: z.boolean().optional(), run: z.boolean().optional() }),
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prompts_search: z.object({ keyword: z.string().optional(), category: z.string().optional(), tags: z.array(z.string()).optional(), page: z.number().optional(), pageSize: z.number().optional() }),
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assets_list: z.object({ kind: z.enum(["all", "text", "image", "video"]).optional(), keyword: z.string().optional(), page: z.number().optional(), pageSize: z.number().optional() }),
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assets_add: z.object({ kind: z.enum(["text", "image"]), title: z.string(), content: z.string().optional(), imageUrl: z.string().optional(), tags: z.array(z.string()).optional(), source: z.string().optional(), note: z.string().optional() }),
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} satisfies Record<ToolName, z.AnyZodObject>;
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export const toolDescriptions: Record<ToolName, string> = {
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site_navigate: "跳转网站页面。path 可为 / (首页)、/canvas (我的画布)、/canvas/:id (指定画布)、/image (生图工作台)、/video (视频创作台)、/prompts (提示词库)、/assets (我的素材)、/config (配置)。操作画布前若不在画布页，先用本工具打开画布。",
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canvas_list_projects: "列出用户全部画布（仅标题、创建/更新时间、节点数、连线数，不含完整数据），支持 keyword 搜索和 page/pageSize 分页。返回的 id 可配合 site_navigate 跳转到 /canvas/:id 打开对应画布。",
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canvas_get_state: "读取当前网页画布的节点、连线、选区和视口。",
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canvas_get_selection: "读取当前网页画布选中的节点。",
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canvas_export_snapshot: "导出当前画布快照，用于理解布局。",
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canvas_apply_ops: "批量操作当前网页画布。ops 支持 add_node、update_node、delete_node、delete_connections、connect_nodes、set_viewport、select_nodes、run_generation。",
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canvas_create_node: "创建任意类型节点：text、image、config、video、audio。适合创建占位图、媒体占位、配置节点或自定义 metadata 节点。",
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canvas_create_attachment_nodes: "把当前对话中用户上传的图片附件创建成真实画布图片节点。attachmentIds 使用本轮附件清单中的 ID；返回的节点 ID 可传给 canvas_create_generation_flow.referenceNodeIds 作为生成参考图。",
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canvas_create_text_node: "在当前画布创建单个文本节点。",
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canvas_create_text_nodes: "批量创建文本节点，适合生成标题、段落、脚本、说明等内容块。",
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canvas_create_config_node: "创建生成配置节点，可指定 text/image/video/audio 模式和生成参数，可选择立即触发生成。",
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canvas_create_image_prompt_flow: "创建提示词文本节点和图片生成配置节点，并自动连线，可选择立即触发生图。",
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canvas_create_generation_flow: "创建通用生成流程：提示词文本节点、生成配置节点、参考节点连线，可用于文案、生图、视频或音频。",
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canvas_generate_text: "创建通用文本生成流程并立即触发生成。",
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canvas_generate_image: "创建通用图片生成流程并立即触发生成。",
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canvas_generate_video: "创建通用视频生成流程并立即触发生成。",
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canvas_generate_audio: "创建通用音频生成流程并立即触发生成。",
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canvas_update_node: "更新节点基础字段或 metadata。",
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canvas_update_node_text: "更新文本节点内容和标题。",
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canvas_move_nodes: "移动一个或多个节点，支持绝对坐标或 dx/dy 偏移。",
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canvas_resize_node: "调整节点尺寸。",
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canvas_delete_nodes: "删除指定节点及相关连线。",
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canvas_connect_nodes: "批量连接节点。",
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canvas_select_nodes: "设置当前选中节点。",
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canvas_set_viewport: "调整画布视口。",
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canvas_run_generation: "触发指定节点生成，通常用于配置节点或文本/图片/视频/音频节点。",
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generation_get_status: "查询当前活动网页的生成任务状态。默认返回画布、生图工作台和视频工作台最近任务；可用 scope 过滤来源，用 taskId 查询工作台任务，用 nodeIds 查询画布节点。",
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workbench_image_get_config: "读取生图工作台的当前参数和可选项（可用模型、质量、尺寸/宽高比、张数范围），在调用 workbench_image_generate 前先了解可选值。",
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workbench_image_generate: "在生图工作台填入提示词并按需设置 model、quality、size（如 1:1 或 1024x1024）、count，run 默认 true 会自动点击生成按钮。会自动跳转到生图工作台。生成为异步过程，提交后返回 taskId，可用 generation_get_status 查询状态。",
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workbench_video_get_config: "读取视频创作台的当前参数和可选项（可用模型、尺寸/比例、时长、清晰度/分辨率、是否生成声音与水印）。",
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workbench_video_generate: "在视频创作台填入提示词并按需设置 model、size、seconds、resolution、generateAudio、watermark，run 默认 true 会自动点击生成按钮。会自动跳转到视频创作台。生成为异步过程，提交后返回 taskId，可用 generation_get_status 查询状态。",
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prompts_search: "搜索提示词库（第三方提示词合集），支持 keyword、category、tags 过滤和 page/pageSize 分页，返回标题、提示词、分类、标签、封面等。",
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assets_list: "列出用户「我的素材」，支持 kind（text/image/video）过滤、keyword 搜索和 page/pageSize 分页。为控制体积不返回图片/视频原始 data，仅返回封面与元信息。",
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assets_add: "向「我的素材」新增素材。kind=text 时用 content 传文本内容；kind=image 时用 imageUrl 传图片地址或 dataURL。可附带 title、tags、source、note。",
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};
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