From e422285c597f79f45c96f8d67ae551be0ce2a587 Mon Sep 17 00:00:00 2001 From: HouYunFei <1844025705@qq.com> Date: Sun, 14 Jun 2026 18:27:44 +0800 Subject: [PATCH] feat(agent): implement local Canvas Agent with MCP integration and HTTP server --- CHANGELOG.md | 2 + README.md | 6 +- canvas-agent/.gitignore | 2 + canvas-agent/README.md | 107 +++ canvas-agent/bun.lock | 304 +++++++ canvas-agent/package.json | 35 + canvas-agent/src/agents.ts | 300 +++++++ canvas-agent/src/canvas-session.ts | 94 ++ canvas-agent/src/config.ts | 27 + canvas-agent/src/http-server.ts | 88 ++ canvas-agent/src/index.ts | 6 + canvas-agent/src/mcp-server.ts | 29 + canvas-agent/src/schemas.ts | 35 + canvas-agent/src/tools.ts | 26 + canvas-agent/src/types.ts | 8 + canvas-agent/tsconfig.json | 14 + docs/content/docs/overview/meta.json | 2 +- .../progress/local-agent-integration-plan.mdx | 248 ++++++ docs/content/docs/progress/meta.json | 1 + docs/content/docs/progress/pending-test.mdx | 1 + docs/content/docs/progress/todo.mdx | 2 + docs/src/app/(home)/page.tsx | 2 +- docs/src/lib/layout.shared.tsx | 2 +- .../(user)/canvas/[id]/canvas-client-page.tsx | 81 +- .../components/canvas-local-agent-panel.tsx | 836 ++++++++++++++++++ .../canvas/stores/use-canvas-agent-store.ts | 53 ++ .../(user)/canvas/utils/canvas-agent-ops.ts | 84 ++ 27 files changed, 2388 insertions(+), 7 deletions(-) create mode 100644 canvas-agent/.gitignore create mode 100644 canvas-agent/README.md create mode 100644 canvas-agent/bun.lock create mode 100644 canvas-agent/package.json create mode 100644 canvas-agent/src/agents.ts create mode 100644 canvas-agent/src/canvas-session.ts create mode 100644 canvas-agent/src/config.ts create mode 100644 canvas-agent/src/http-server.ts create mode 100644 canvas-agent/src/index.ts create mode 100644 canvas-agent/src/mcp-server.ts create mode 100644 canvas-agent/src/schemas.ts create mode 100644 canvas-agent/src/tools.ts create mode 100644 canvas-agent/src/types.ts create mode 100644 canvas-agent/tsconfig.json create mode 100644 docs/content/docs/progress/local-agent-integration-plan.mdx create mode 100644 web/src/app/(user)/canvas/components/canvas-local-agent-panel.tsx create mode 100644 web/src/app/(user)/canvas/stores/use-canvas-agent-store.ts create mode 100644 web/src/app/(user)/canvas/utils/canvas-agent-ops.ts diff --git a/CHANGELOG.md b/CHANGELOG.md index 41451b0..ee4682a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,8 @@ ## Unreleased ++ [新增] 新增canvas-agent通过codex/claude code操作画布。 + ## v0.2.5 - 2026-06-08 + [新增] 新增图片切图功能。 diff --git a/README.md b/README.md index 1a57fa8..a27868b 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,7 @@ - 无限画布：多画布项目、节点拖拽缩放、连线、小地图、撤销重做、导入导出。 - AI 创作：支持 OpenAI 兼容接口的文生图、图生图、参考图编辑、文本问答和视频生成；Seedance 2.0 可通过火山方舟 Agent Plan 接入。 - 画布助手：围绕选中节点和上游节点对话、生图，并把结果插回画布。 +- 本地 Agent：通过本机 Canvas Agent 连接 Codex / Claude Code，让 Agent 通过 MCP 操作当前画布。 - 提示词库：抓取多个 GitHub 开源项目，按案例整理数百个图片提示词。 完整功能说明见 [docs/features.md](docs2/features.md)。 @@ -67,11 +68,11 @@ docker compose -f docker-compose.local.yml up -d --build 如果使用 New API，可在 `系统设置 -> 聊天方式 -> 添加聊天设置` 中填入： ```text -https://infinite-canvas-cpco.onrender.com?apiKey={key}&baseUrl={address} +https://canvas.best?apiKey={key}&baseUrl={address} ``` 跳转后会自动打开配置弹窗并填入 API Key 和 Base URL。 -如果自己部署了，可以把 `https://infinite-canvas-cpco.onrender.com` 替换成你部署的地址。 +如果自己部署了，可以把 `https://canvas.best` 替换成你部署的地址。 ## 效果展示 @@ -100,6 +101,7 @@ https://infinite-canvas-cpco.onrender.com?apiKey={key}&baseUrl={address} - [后端数据库说明](docs2/backend-database.md) - [系统配置数据结构](docs2/system-settings.md) - [接口响应约定](docs2/api-response.md) +- [本地 Canvas Agent](canvas-agent/README.md) ## 赞助支持 diff --git a/canvas-agent/.gitignore b/canvas-agent/.gitignore new file mode 100644 index 0000000..de4d1f0 --- /dev/null +++ b/canvas-agent/.gitignore @@ -0,0 +1,2 @@ +dist +node_modules diff --git a/canvas-agent/README.md b/canvas-agent/README.md new file mode 100644 index 0000000..1f815e2 --- /dev/null +++ b/canvas-agent/README.md @@ -0,0 +1,107 @@ +# Infinite Canvas Agent + +本地 Canvas Agent 用来连接线上画布网页和用户电脑上的 Codex / Claude Code。 + +## 启动 + +```bash +npx -y canvas-agent +``` + +本仓库开发时也可以直接运行： + +```bash +cd canvas-agent +npm install +npm run build +node dist/index.js +``` + +启动后会输出本机地址和 token： + +```txt +Local URL: http://127.0.0.1:17371 +Connect token: xxxxxx +``` + +在画布右上角点击 `Agent`，填入地址和 token 后连接。 + +Canvas Agent 默认只监听 `127.0.0.1`。网页第一次带正确 token 连接后，Canvas Agent 会记录该网页 Origin；之后其他 Origin 不能复用这个本地 Agent，除非用户清理 `~/.infinite-canvas/canvas-agent.json` 里的 `origins`。 + +## Codex MCP + +如果希望 Codex 终端能直接操作画布，需要先把 Canvas Agent 注册成 Codex MCP。 + +Canvas Agent 启动后，给 Codex 添加 MCP： + +```bash +codex mcp add infinite-canvas -- npx -y canvas-agent mcp +``` + +本仓库开发时可以改成，实际使用建议替换为本机绝对路径： + +```bash +codex mcp add infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp +``` + +Canvas Agent 源码使用 TypeScript 编写，MCP 协议层使用官方 `@modelcontextprotocol/sdk`，工具入参使用 `zod` 描述。 + +如果希望终端里的 Codex 不被 MCP 审批卡住，可以在 `~/.codex/config.toml` 里给这个 MCP 设置自动放行： + +```toml +[mcp_servers.infinite-canvas] +command = "npx" +args = ["-y", "canvas-agent", "mcp"] +default_tools_approval_mode = "approve" +``` + +可用工具： + +- `canvas_get_state` +- `canvas_get_selection` +- `canvas_export_snapshot` +- `canvas_apply_ops` +- `canvas_create_text_node` +- `canvas_create_image_prompt_flow` + +`canvas_apply_ops` 示例： + +```json +{ + "ops": [ + { + "type": "add_node", + "nodeType": "text", + "title": "标题", + "position": { "x": 0, "y": 0 }, + "metadata": { "content": "文本内容" } + } + ] +} +``` + +## 侧边栏 Codex + +本地面板会把提示词发送给 Canvas Agent。Canvas Agent 使用官方 `@openai/codex` CLI 的 `codex app-server --stdio` 启动并复用同一个 Codex thread，启动时会注入 `infinite-canvas` MCP 配置并自动放行 MCP 审批，真正执行画布修改前仍由网页侧边栏二次确认。 + +侧边栏会展示 Codex 返回的 `thread.started`、`turn.started`、`item.*`、`turn.completed` 等结构化事件；收到 app-server 的 `item/agentMessage/delta` 时，Canvas Agent 会转成 `item.updated`，网页会用同一条消息做真实流式更新，并把工具细节收进运行日志。 + +侧边栏上传或粘贴的图片会先发到本机 Canvas Agent，再由 Canvas Agent 临时写入本机文件并作为 app-server `localImage` 输入传给 Codex；前端会提示附件体积，单次请求体限制为 30MB。 + +## Claude Code + +Claude Code Adapter 代码暂时保留，但当前网页侧边栏只开放 Codex。后续开放 Claude 入口时，Canvas Agent 会调用本机 `claude -p --output-format stream-json` 并把流式 JSON 事件转发到侧边栏。 + +如果希望 Claude Code 也能操作画布，需要给 Claude Code 添加同一个 MCP。建议用 user scope，避免 Canvas Agent 从不同目录启动时找不到配置： + +```bash +claude mcp add --scope user --transport stdio infinite-canvas -- npx -y canvas-agent mcp +``` + +本仓库开发时可以改成： + +```bash +claude mcp add --scope user --transport stdio infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp +``` + +Canvas Agent 调用 Claude Code 时会默认带上 `--allowedTools mcp__infinite-canvas__*`，画布写操作仍由网页侧边栏确认。 diff --git a/canvas-agent/bun.lock b/canvas-agent/bun.lock new file mode 100644 index 0000000..a6049c7 --- /dev/null +++ b/canvas-agent/bun.lock @@ -0,0 +1,304 @@ +{ + "lockfileVersion": 1, + "configVersion": 1, + 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"npm run build" + }, + "dependencies": { + "@modelcontextprotocol/sdk": "^1.12.1", + "@openai/codex": "^0.139.0", + "express": "^5.1.0", + "zod": "^3.25.0" + }, + "devDependencies": { + "@types/express": "^5.0.0", + "@types/node": "^22.0.0", + "tsx": "^4.19.0", + "typescript": "^5.8.0" + }, + "engines": { + "node": ">=18" + } +} diff --git a/canvas-agent/src/agents.ts b/canvas-agent/src/agents.ts new file mode 100644 index 0000000..6854138 --- /dev/null +++ b/canvas-agent/src/agents.ts @@ -0,0 +1,300 @@ +import { spawn, type ChildProcess, type StdioOptions } from "node:child_process"; +import fs from "node:fs/promises"; +import os from "node:os"; +import path from "node:path"; +import { createRequire } from "node:module"; +import { fileURLToPath } from "node:url"; + +import { AGENT_PROMPT, VERSION } from "./config.js"; +import type { AgentAttachment, AgentEmit } from "./types.js"; + +type Json = Record; +type AgentEvent = Json & { type: string; usage?: unknown }; +type PendingRequest = { resolve: (value: unknown) => void; reject: (error: Error) => void }; + +let codexQueue: Promise = Promise.resolve(); +let codexApp: CodexAppClient | null = null; +let codexThreadId = ""; +const canvasAgentMcp = canvasAgentMcpCommand(); +const require = createRequire(import.meta.url); + +export function withAgentPrompt(prompt: string) { + return prompt.trim() ? `${AGENT_PROMPT}\n\n用户请求：${prompt}` : ""; +} + +export async function runCodexTurn(prompt: string, emit: AgentEmit, attachments: AgentAttachment[] = []) { + if (!prompt.trim()) return; + codexQueue = codexQueue.catch(() => undefined).then(() => runCodexTurnNow(prompt, emit, attachments)); + await codexQueue; +} + +async function runCodexTurnNow(prompt: string, emit: AgentEmit, attachments: AgentAttachment[]) { + let files: string[] = []; + try { + files = await writeAttachmentFiles(attachments); + codexApp ||= await CodexAppClient.start(emit); + codexThreadId ||= await codexApp.startThread(); + await codexApp.startTurn(codexThreadId, prompt, files); + } catch (error) { + emit("agent_error", { message: errorMessage(error) }); + } finally { + await Promise.all(files.map((file) => fs.unlink(file).catch(() => undefined))); + } +} + +export function runClaudeTurn(prompt: string, emit: AgentEmit) { + if (!prompt.trim()) return; + const child = spawnAgent("claude", ["-p", "--output-format", "stream-json", "--verbose", "--include-partial-messages", "--allowedTools", "mcp__infinite-canvas__*", prompt], ["ignore", "pipe", "pipe"], emit); + if (!child) return; + pipeJsonLines(child, emit, "claude"); +} + +class CodexAppClient { + private nextId = 1; + private buffer = ""; + private textByItem = new Map(); + private deltaCount = 0; + private lastUsage: unknown = null; + private pending = new Map(); + private activeTurns = new Map(); + private completedTurns = new Map(); + + private constructor(private child: ChildProcess, private emit: AgentEmit) {} + + static async start(emit: AgentEmit) { + const child = spawn(process.execPath, [codexBin(), "app-server", "--stdio"], { stdio: ["pipe", "pipe", "pipe"], windowsHide: true }); + const client = new CodexAppClient(child, emit); + child.stdout?.on("data", (chunk) => client.read(chunk.toString())); + child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() })); + child.on("error", (error) => emit("agent_error", { message: error.message })); + child.on("exit", (code) => { + client.failAll(`Codex app-server exited: ${code ?? 0}`); + codexApp = null; + codexThreadId = ""; + emit("agent_log", { text: `Codex app-server exited: ${code ?? 0}` }); + }); + await client.request("initialize", { clientInfo: { name: "canvas-agent", title: "Infinite Canvas Agent", version: VERSION }, capabilities: { experimentalApi: true, requestAttestation: false } }); + client.notify("initialized"); + return client; + } + + async startThread() { + const result = await this.request("thread/start", { approvalPolicy: "never", sandbox: "workspace-write", config: codexConfig(), threadSource: "user" }); + const id = String(field(field(result, "thread"), "id") || ""); + if (!id) throw new Error("Codex app-server 没有返回 thread id"); + return id; + } + + async startTurn(threadId: string, prompt: string, images: string[]) { + const result = await this.request("turn/start", { threadId, input: codexInput(prompt, images), approvalPolicy: "never" }); + const turnId = String(field(field(result, "turn"), "id") || ""); + if (!turnId) throw new Error("Codex app-server 没有返回 turn id"); + const completed = this.completedTurns.get(turnId); + if (this.completedTurns.has(turnId)) { + this.completedTurns.delete(turnId); + if (completed) throw completed; + return; + } + await new Promise((resolve, reject) => this.activeTurns.set(turnId, { resolve, reject })); + } + + private request(method: string, params: unknown) { + const id = this.nextId++; + this.write({ id, method, params }); + return new Promise((resolve, reject) => this.pending.set(id, { resolve, reject })); + } + + private notify(method: string, params?: unknown) { + this.write(params === undefined ? { method } : { method, params }); + } + + private write(value: unknown) { + this.child.stdin?.write(`${JSON.stringify(value)}\n`); + } + + private read(chunk: string) { + this.buffer += chunk; + const lines = this.buffer.split(/\r?\n/); + this.buffer = lines.pop() || ""; + lines.filter(Boolean).forEach((line) => { + try { + this.handle(JSON.parse(line) as Json); + } catch { + this.emit("agent_log", { text: line }); + } + }); + } + + private handle(message: Json) { + const id = Number(message.id); + if (message.error && this.pending.has(id)) return this.reject(id, String(field(message.error, "message") || "Codex request failed")); + if (this.pending.has(id)) return this.resolve(id, message.result); + if (typeof message.method === "string" && "id" in message) return this.answerServerRequest(message); + if (typeof message.method === "string") this.handleNotification(message.method, (message.params || {}) as Json); + } + + private handleNotification(method: string, params: Json) { + if (method === "item/agentMessage/delta") return this.emitDelta(params); + if (method === "thread/tokenUsage/updated") this.lastUsage = normalizeUsage(params); + const event = normalizeCodexNotification(method, params); + if (!event) return; + if (event.type === "turn.completed") event.usage = this.lastUsage; + this.emit("agent_event", { agent: "codex", ...event }); + if (event.type === "turn.completed") { + const turnId = String(field(params, "turnId") || field(field(params, "turn"), "id") || ""); + const pending = this.activeTurns.get(turnId); + const error = field(field(params, "turn"), "error"); + if (pending) { + this.activeTurns.delete(turnId); + error ? pending.reject(new Error(String(field(error, "message") || "Codex turn failed"))) : pending.resolve(event); + } else if (turnId) { + this.completedTurns.set(turnId, error ? new Error(String(field(error, "message") || "Codex turn failed")) : null); + } + this.emit("agent_event", { agent: "codex", type: "stream.summary", delta_count: this.deltaCount }); + this.deltaCount = 0; + this.emit("agent_done", { agent: "codex", usage: event.usage }); + } + } + + private emitDelta(params: Json) { + const id = String(field(params, "itemId") || ""); + const text = `${this.textByItem.get(id) || ""}${String(field(params, "delta") || "")}`; + this.deltaCount += 1; + this.textByItem.set(id, text); + this.emit("agent_event", { agent: "codex", type: "item.updated", item: { id, type: "agent_message", text } }); + } + + private answerServerRequest(message: Json) { + const method = String(message.method); + const result = method === "mcpServer/elicitation/request" ? { action: "accept", content: {}, _meta: null } : { decision: "decline" }; + this.write({ id: message.id, result }); + this.emit("agent_event", { agent: "codex", type: "server.request", method, params: message.params, result }); + } + + private resolve(id: number, result: unknown) { + const pending = this.pending.get(id); + if (pending) (this.pending.delete(id), pending.resolve(result)); + } + + private reject(id: number, message: string) { + const pending = this.pending.get(id); + if (pending) (this.pending.delete(id), pending.reject(new Error(message))); + } + + failAll(message: string) { + [...this.pending.values(), ...this.activeTurns.values()].forEach((item) => item.reject(new Error(message))); + this.pending.clear(); + this.activeTurns.clear(); + } +} + +function canvasAgentMcpCommand() { + const current = process.argv.find((arg) => /index\.(t|j)s$/.test(arg)) || ""; + const entry = path.resolve(current || fileURLToPath(new URL("./index.js", import.meta.url))); + const tsx = path.join(path.dirname(entry), "..", "node_modules", "tsx", "dist", "cli.mjs"); + return entry.endsWith(".ts") ? { command: process.execPath, args: [tsx, entry, "mcp"] } : { command: process.execPath, args: [entry, "mcp"] }; +} + +function codexConfig() { + return { mcp_servers: { "infinite-canvas": { command: canvasAgentMcp.command, args: canvasAgentMcp.args, default_tools_approval_mode: "approve", startup_timeout_sec: 20, tool_timeout_sec: 90 } } }; +} + +function codexInput(prompt: string, images: string[]) { + return [{ type: "text", text: prompt, text_elements: [] }, ...images.map((file) => ({ type: "localImage", path: file }))]; +} + +function normalizeCodexNotification(method: string, params: Json): AgentEvent | null { + if (method === "thread/started") return { type: "thread.started", thread_id: field(field(params, "thread"), "id") }; + if (method === "turn/started") return { type: "turn.started" }; + if (method === "turn/completed") return { type: "turn.completed", usage: null }; + if (method === "item/started") return { type: "item.started", item: normalizeItem(field(params, "item")) }; + if (method === "item/completed") return { type: "item.completed", item: normalizeItem(field(params, "item")) }; + if (method === "error") return { type: "error", message: field(params, "message") }; + return null; +} + +function normalizeItem(item: unknown) { + const value = item && typeof item === "object" ? { ...(item as Json) } : {}; + if (value.type === "agentMessage") value.type = "agent_message"; + if (value.type === "mcpToolCall") value.type = "mcp_tool_call"; + if (value.type === "agent_message" && typeof value.id === "string") value.text = String(value.text || ""); + if ("arguments" in value) value.arguments = parseMaybeJson(value.arguments); + return value; +} + +function normalizeUsage(params: Json) { + const total = field(field(params, "tokenUsage"), "total") as Json | undefined; + return { + input_tokens: field(total, "inputTokens"), + cached_input_tokens: field(total, "cachedInputTokens"), + output_tokens: field(total, "outputTokens"), + reasoning_output_tokens: field(total, "reasoningOutputTokens"), + }; +} + +function parseMaybeJson(value: unknown) { + if (typeof value !== "string") return value; + try { + return JSON.parse(value); + } catch { + return value; + } +} + +function field(value: unknown, key: string) { + return value && typeof value === "object" ? (value as Json)[key] : undefined; +} + +async function writeAttachmentFiles(attachments: AgentAttachment[]) { + return await Promise.all(attachments.filter((item) => item.dataUrl?.startsWith("data:image/")).map(writeAttachmentFile)); +} + +async function writeAttachmentFile(item: AgentAttachment) { + const [, meta = "", data = ""] = item.dataUrl?.match(/^data:([^;]+);base64,(.+)$/) || []; + if (!data) throw new Error(`图片附件无效：${item.name || "未命名图片"}`); + const file = path.join(os.tmpdir(), `infinite-canvas-${Date.now()}-${Math.random().toString(16).slice(2)}.${imageExt(meta || item.type)}`); + await fs.writeFile(file, Buffer.from(data, "base64")); + return file; +} + +function imageExt(type = "") { + if (type.includes("png")) return "png"; + if (type.includes("webp")) return "webp"; + return "jpg"; +} + +function codexBin() { + return path.join(path.dirname(require.resolve("@openai/codex/package.json")), "bin", "codex.js"); +} + +function pipeJsonLines(child: ReturnType, emit: AgentEmit, agent: string) { + let out = ""; + child.stdout?.on("data", (chunk) => { + out += chunk.toString(); + const lines = out.split(/\r?\n/); + out = lines.pop() || ""; + lines.filter(Boolean).forEach((line) => { + try { + emit("agent_event", { agent, ...JSON.parse(line) }); + } catch { + emit("agent_event", { agent, type: "raw", text: line }); + } + }); + }); + child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() })); + child.on("error", (error) => emit("agent_error", { message: error.message })); + child.on("close", (code) => emit("agent_done", { agent, code })); +} + +function spawnAgent(name: string, args: string[], stdio: StdioOptions, emit: AgentEmit) { + try { + return spawn(name, args, { stdio, shell: process.platform === "win32", windowsHide: true }); + } catch (error) { + emit("agent_error", { message: errorMessage(error) }); + return null; + } +} + +function errorMessage(error: unknown) { + return error instanceof Error ? error.message : String(error); +} diff --git a/canvas-agent/src/canvas-session.ts b/canvas-agent/src/canvas-session.ts new file mode 100644 index 0000000..256c1d2 --- /dev/null +++ b/canvas-agent/src/canvas-session.ts @@ -0,0 +1,94 @@ +import crypto from "node:crypto"; +import type { ServerResponse } from "node:http"; + +import { type ToolName } from "./schemas.js"; +import { compactCanvasState, compactNode, isToolName, nextCanvasX, parseToolInput } from "./tools.js"; +import type { CanvasSnapshot } from "./types.js"; + +type PendingRequest = { resolve: (value: unknown) => void; reject: (error: Error) => void }; + +export class CanvasSession { + private clients = new Map(); + private pending = new Map(); + private canvasState: CanvasSnapshot | null = null; + + health() { + return { ok: true, hasCanvas: Boolean(this.canvasState), clients: this.clients.size }; + } + + openEvents(url: URL, res: ServerResponse) { + const clientId = url.searchParams.get("clientId") || crypto.randomUUID(); + res.writeHead(200, { "Content-Type": "text/event-stream", "Cache-Control": "no-cache", Connection: "keep-alive" }); + this.clients.set(clientId, res); + sendEvent(res, "hello", { ok: true, clientId }); + const timer = setInterval(() => sendEvent(res, "ping", { time: Date.now() }), 15000); + res.on("close", () => { + clearInterval(timer); + this.clients.delete(clientId); + if (this.canvasState?.clientId === clientId) this.canvasState = null; + }); + } + + updateState(body: unknown, clientId?: string) { + this.canvasState = { ...((body && typeof body === "object" && !Array.isArray(body) ? body : {}) as Record), clientId } as CanvasSnapshot; + } + + resolveResult(body: { requestId?: string; error?: string; result?: unknown }) { + const item = body.requestId ? this.pending.get(body.requestId) : null; + if (!item || !body.requestId) return; + this.pending.delete(body.requestId); + body.error ? item.reject(new Error(body.error)) : item.resolve(body.result); + } + + emitAll(type: string, payload: unknown) { + this.clients.forEach((client) => sendEvent(client, type, payload)); + } + + async callTool(name: unknown, rawInput: unknown) { + if (!isToolName(name)) throw new Error(`未知工具：${String(name)}`); + let tool: ToolName = name; + let input = parseToolInput(tool, rawInput) as Record; + const readTool = ["canvas_get_state", "canvas_get_selection", "canvas_export_snapshot"].includes(tool); + if (readTool && (!this.clients.size || !this.canvasState)) throw new Error("当前没有已连接画布"); + if (tool === "canvas_get_state" || tool === "canvas_export_snapshot") return compactCanvasState(this.canvasState); + if (tool === "canvas_get_selection") { + const ids = new Set(this.canvasState?.selectedNodeIds || []); + return { nodes: (this.canvasState?.nodes || []).filter((node) => ids.has(node.id)).map(compactNode) }; + } + if (tool === "canvas_create_text_node") { + const text = input as { text?: string; x?: number; y?: number; title?: string }; + input = { ops: [{ type: "add_node", nodeType: "text", title: text.title, position: { x: text.x ?? 0, y: text.y ?? 0 }, metadata: { content: text.text || "" } }] }; + tool = "canvas_apply_ops"; + } + if (tool === "canvas_create_image_prompt_flow") { + const flow = input as { prompt: string; x?: number; y?: number }; + const x = Number(flow.x ?? nextCanvasX(this.canvasState)); + const y = Number(flow.y ?? 0); + const textId = `text-${crypto.randomUUID()}`; + const configId = `config-${crypto.randomUUID()}`; + input = { ops: [{ type: "add_node", id: textId, nodeType: "text", title: "提示词", position: { x, y }, metadata: { content: flow.prompt } }, { type: "add_node", id: configId, nodeType: "config", title: "图片生成", position: { x: x + 420, y }, metadata: { generationMode: "image", composerContent: flow.prompt } }, { type: "connect_nodes", fromNodeId: textId, toNodeId: configId }, { type: "select_nodes", ids: [configId] }] }; + tool = "canvas_apply_ops"; + } + if (tool !== "canvas_apply_ops") throw new Error(`未知工具：${tool}`); + if (!this.clients.size) throw new Error("当前没有已连接画布"); + return await this.requestCanvasTool(tool, input); + } + + private async requestCanvasTool(name: ToolName, input: Record) { + const requestId = crypto.randomUUID(); + const client = this.clients.get(this.canvasState?.clientId || "") || this.clients.values().next().value; + if (!client) throw new Error("当前没有已连接画布"); + sendEvent(client, "tool_call", { requestId, name, input }); + return await new Promise((resolve, reject) => { + const timer = setTimeout(() => { + this.pending.delete(requestId); + reject(new Error("画布操作超时")); + }, 30000); + this.pending.set(requestId, { resolve: (value) => (clearTimeout(timer), resolve(value)), reject: (error) => (clearTimeout(timer), reject(error)) }); + }); + } +} + +function sendEvent(res: ServerResponse, type: string, payload: unknown) { + res.write(`event: ${type}\ndata: ${JSON.stringify(payload)}\n\n`); +} diff --git a/canvas-agent/src/config.ts b/canvas-agent/src/config.ts new file mode 100644 index 0000000..256ec1d --- /dev/null +++ b/canvas-agent/src/config.ts @@ -0,0 +1,27 @@ +import crypto from "node:crypto"; +import fs from "node:fs"; +import os from "node:os"; +import path from "node:path"; + +export const DEFAULT_PORT = 17371; +export const CONFIG_DIR = path.join(os.homedir(), ".infinite-canvas"); +export const CONFIG_FILE = path.join(CONFIG_DIR, "canvas-agent.json"); +export const VERSION = "0.1.0"; +export const AGENT_PROMPT = "你正在帮助用户操作 Infinite Canvas 网页画布。需要改动画布时优先使用已配置的 infinite-canvas MCP 工具：先 canvas_get_state 读取当前画布，再用 canvas_apply_ops 提交 JSON 操作。不要模拟鼠标点击，不要要求用户手动复制 JSON。"; + +export type CanvasAgentConfig = { url: string; token: string; origins?: string[] }; + +export function loadConfig(create = false): CanvasAgentConfig { + try { + return JSON.parse(fs.readFileSync(CONFIG_FILE, "utf8")) as CanvasAgentConfig; + } catch { + const config = { url: `http://127.0.0.1:${Number(process.env.PORT) || DEFAULT_PORT}`, token: crypto.randomBytes(18).toString("hex") }; + if (create) saveConfig(config); + return config; + } +} + +export function saveConfig(config: CanvasAgentConfig) { + fs.mkdirSync(CONFIG_DIR, { recursive: true }); + fs.writeFileSync(CONFIG_FILE, JSON.stringify(config, null, 2)); +} diff --git a/canvas-agent/src/http-server.ts b/canvas-agent/src/http-server.ts new file mode 100644 index 0000000..3b82fa4 --- /dev/null +++ b/canvas-agent/src/http-server.ts @@ -0,0 +1,88 @@ +import express, { type NextFunction, type Request, type Response } from "express"; + +import { DEFAULT_PORT, loadConfig, saveConfig, type CanvasAgentConfig } from "./config.js"; +import { CanvasSession } from "./canvas-session.js"; +import { runClaudeTurn, runCodexTurn, withAgentPrompt } from "./agents.js"; +import type { AgentAttachment } from "./types.js"; + +export function startHttpServer() { + const config = loadConfig(true); + const port = Number(process.env.PORT) || Number(new URL(config.url).port) || DEFAULT_PORT; + config.url = `http://127.0.0.1:${port}`; + saveConfig(config); + + const session = new CanvasSession(); + const emit = (type: string, payload: unknown) => session.emitAll(type, payload); + const app = express(); + app.disable("x-powered-by"); + app.use(express.json({ limit: "30mb" })); + app.use((req, res, next) => { + const url = requestUrl(req, config); + if (!setCors(req, res, url, config)) return void res.status(403).json({ ok: false, error: "origin not allowed" }); + if (req.method === "OPTIONS") return void res.json({}); + next(); + }); + app.get("/health", (_req, res) => res.json(session.health())); + app.get("/config", (_req, res) => res.json({ ok: true, url: config.url, hasToken: true })); + app.use((req, res, next) => { + if (validToken(req, requestUrl(req, config), config.token)) return next(); + res.status(401).json({ ok: false, error: "invalid token" }); + }); + app.get("/events", (req, res) => session.openEvents(requestUrl(req, config), res)); + app.post("/canvas/state", (req, res) => { + session.updateState(req.body, String(req.query.clientId || "") || undefined); + res.json({ ok: true }); + }); + app.post("/canvas/result", (req, res) => { + session.resolveResult(req.body); + res.json({ ok: true }); + }); + app.post("/api/tools", route(async (req, res) => res.json({ ok: true, result: await session.callTool(req.body?.name, req.body?.input || {}) }))); + app.post("/agent/codex/turn", route(async (req, res) => { + const attachments = Array.isArray(req.body?.attachments) ? (req.body.attachments as AgentAttachment[]) : []; + void runCodexTurn(withAgentPrompt(String(req.body?.prompt || "")), emit, attachments); + res.json({ ok: true }); + })); + app.post("/agent/claude/turn", (req, res) => { + runClaudeTurn(withAgentPrompt(String(req.body?.prompt || "")), emit); + res.json({ ok: true }); + }); + app.use((_req, res) => res.status(404).json({ ok: false, error: "not found" })); + app.use((error: Error, _req: Request, res: Response, _next: NextFunction) => res.status(500).json({ ok: false, error: error.message })); + + app.listen(port, "127.0.0.1", () => { + console.log("Infinite Canvas Agent"); + console.log(`Local URL: ${config.url}`); + console.log(`Connect token: ${config.token}`); + console.log("Codex MCP: codex mcp add infinite-canvas -- npx -y canvas-agent mcp"); + }); +} + +function route(handler: (req: Request, res: Response) => Promise) { + return (req: Request, res: Response, next: NextFunction) => void handler(req, res).catch(next); +} + +function requestUrl(req: Request, config: CanvasAgentConfig) { + return new URL(req.originalUrl || req.url || "/", config.url); +} + +function setCors(req: Request, res: Response, url: URL, config: CanvasAgentConfig) { + const origin = req.headers.origin; + res.setHeader("Access-Control-Allow-Origin", origin || "*"); + res.setHeader("Access-Control-Allow-Headers", "content-type,x-canvas-agent-token"); + res.setHeader("Access-Control-Allow-Methods", "GET,POST,OPTIONS"); + res.setHeader("Access-Control-Allow-Private-Network", "true"); + if (!origin || req.method === "OPTIONS" || url.pathname === "/health" || url.pathname === "/config") return true; + config.origins ||= []; + if (validToken(req, url, config.token) && !config.origins.includes(origin)) { + config.origins.push(origin); + saveConfig(config); + } + res.setHeader("Vary", "Origin"); + return config.origins.includes(origin); +} + +function validToken(req: Request, url: URL, token: string) { + const header = req.headers["x-canvas-agent-token"]; + return url.searchParams.get("token") === token || header === token || (Array.isArray(header) && header.includes(token)); +} diff --git a/canvas-agent/src/index.ts b/canvas-agent/src/index.ts new file mode 100644 index 0000000..826f7cc --- /dev/null +++ b/canvas-agent/src/index.ts @@ -0,0 +1,6 @@ +#!/usr/bin/env node +import { startHttpServer } from "./http-server.js"; +import { startMcpServer } from "./mcp-server.js"; + +if (process.argv[2] === "mcp") await startMcpServer(); +else startHttpServer(); diff --git a/canvas-agent/src/mcp-server.ts b/canvas-agent/src/mcp-server.ts new file mode 100644 index 0000000..3e7aaf7 --- /dev/null +++ b/canvas-agent/src/mcp-server.ts @@ -0,0 +1,29 @@ +import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; +import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; + +import { AGENT_PROMPT, loadConfig, type CanvasAgentConfig, VERSION } from "./config.js"; +import { toolDescriptions, toolInputSchemas, toolNames, type ToolName } from "./schemas.js"; + +type CanvasAgentToolResponse = { ok?: boolean; result?: unknown; error?: string }; + +export async function startMcpServer() { + const config = loadConfig(true); + const server = new McpServer({ name: "canvas-agent", version: VERSION }, { instructions: AGENT_PROMPT }); + toolNames.forEach((name) => registerCanvasTool(server, config, name)); + await server.connect(new StdioServerTransport()); +} + +function registerCanvasTool(server: McpServer, config: CanvasAgentConfig, name: ToolName) { + const schema = toolInputSchemas[name]; + server.registerTool(name, { description: toolDescriptions[name], inputSchema: schema.shape }, async (input: unknown) => { + const result = await postCanvasAgentTool(config, name, schema.parse(input)); + return { content: [{ type: "text" as const, text: JSON.stringify(result, null, 2) }] }; + }); +} + +async function postCanvasAgentTool(config: CanvasAgentConfig, name: ToolName, input: unknown) { + const res = await fetch(`${config.url}/api/tools`, { method: "POST", headers: { "content-type": "application/json", "x-canvas-agent-token": config.token }, body: JSON.stringify({ name, input }) }); + const body = (await res.json()) as CanvasAgentToolResponse; + if (!body.ok) throw new Error(body.error || "tool call failed"); + return body.result; +} diff --git a/canvas-agent/src/schemas.ts b/canvas-agent/src/schemas.ts new file mode 100644 index 0000000..471f625 --- /dev/null +++ b/canvas-agent/src/schemas.ts @@ -0,0 +1,35 @@ +import { z } from "zod"; + +const recordSchema = z.record(z.unknown()); +const positionSchema = z.object({ x: z.number(), y: z.number() }); +const viewportSchema = z.object({ x: z.number(), y: z.number(), k: z.number() }); + +export const toolNames = ["canvas_get_state", "canvas_get_selection", "canvas_export_snapshot", "canvas_apply_ops", "canvas_create_text_node", "canvas_create_image_prompt_flow"] as const; +export type ToolName = (typeof toolNames)[number]; + +export const canvasOpSchema = z.discriminatedUnion("type", [ + z.object({ type: z.literal("add_node"), nodeType: z.enum(["image", "text", "config", "video", "audio"]).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(), + z.object({ type: z.literal("update_node"), id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }).passthrough(), + z.object({ type: z.literal("delete_node"), id: z.string().optional(), ids: z.array(z.string()).optional() }).passthrough(), + z.object({ type: z.literal("connect_nodes"), id: z.string().optional(), fromNodeId: z.string(), toNodeId: z.string() }).passthrough(), + z.object({ type: z.literal("set_viewport"), viewport: viewportSchema }).passthrough(), + z.object({ type: z.literal("select_nodes"), ids: z.array(z.string()) }).passthrough(), +]); + +export const toolInputSchemas = { + canvas_get_state: z.object({}).passthrough(), + canvas_get_selection: z.object({}).passthrough(), + canvas_export_snapshot: z.object({}).passthrough(), + canvas_apply_ops: z.object({ ops: z.array(canvasOpSchema) }), + canvas_create_text_node: z.object({ text: z.string().optional(), x: z.number().optional(), y: z.number().optional(), title: z.string().optional() }), + canvas_create_image_prompt_flow: z.object({ prompt: z.string(), x: z.number().optional(), y: z.number().optional() }), +} satisfies Record; + +export const toolDescriptions: Record = { + canvas_get_state: "读取当前网页画布的节点、连线、选区和视口。", + canvas_get_selection: "读取当前网页画布选中的节点。", + canvas_export_snapshot: "导出当前画布快照，用于理解布局。", + canvas_apply_ops: "批量操作当前网页画布。ops 支持 add_node、update_node、delete_node、connect_nodes、set_viewport、select_nodes。", + canvas_create_text_node: "在当前画布创建文本节点。", + 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。", +}; diff --git a/canvas-agent/src/tools.ts b/canvas-agent/src/tools.ts new file mode 100644 index 0000000..1f5539d --- /dev/null +++ b/canvas-agent/src/tools.ts @@ -0,0 +1,26 @@ +import { toolInputSchemas, toolNames, type ToolName } from "./schemas.js"; +import type { CanvasNode, CanvasSnapshot } from "./types.js"; + +export function isToolName(name: unknown): name is ToolName { + return typeof name === "string" && toolNames.includes(name as ToolName); +} + +export function parseToolInput(name: ToolName, input: unknown) { + return toolInputSchemas[name].parse(input ?? {}); +} + +export function compactCanvasState(state: CanvasSnapshot | null) { + if (!state) throw new Error("当前没有已连接画布"); + return { ...state, nodes: (state.nodes || []).map(compactNode) }; +} + +export function compactNode(node: CanvasNode) { + const metadata = { ...(node.metadata || {}) }; + if (typeof metadata.content === "string" && metadata.content.length > 240) metadata.content = `${metadata.content.slice(0, 120)}...`; + return { id: node.id, type: node.type, title: node.title, position: node.position, width: node.width, height: node.height, metadata }; +} + +export function nextCanvasX(state: CanvasSnapshot | null) { + const nodes = state?.nodes || []; + return nodes.length ? Math.max(...nodes.map((node) => node.position.x + node.width)) + 80 : 0; +} diff --git a/canvas-agent/src/types.ts b/canvas-agent/src/types.ts new file mode 100644 index 0000000..d513918 --- /dev/null +++ b/canvas-agent/src/types.ts @@ -0,0 +1,8 @@ +export type Position = { x: number; y: number }; +export type Viewport = { x: number; y: number; k: number }; +export type CanvasNodeType = "image" | "text" | "config" | "video" | "audio"; +export type CanvasNode = { id: string; type: CanvasNodeType; title?: string; position: Position; width: number; height: number; metadata?: Record }; +export type CanvasConnection = { id: string; fromNodeId: string; toNodeId: string }; +export type CanvasSnapshot = { projectId?: string; title?: string; nodes?: CanvasNode[]; connections?: CanvasConnection[]; selectedNodeIds?: string[]; viewport?: Viewport; clientId?: string }; +export type AgentEmit = (type: string, payload: unknown) => void; +export type AgentAttachment = { name?: string; type?: string; dataUrl?: string }; diff --git a/canvas-agent/tsconfig.json b/canvas-agent/tsconfig.json new file mode 100644 index 0000000..543a8e2 --- /dev/null +++ b/canvas-agent/tsconfig.json @@ -0,0 +1,14 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "NodeNext", + "moduleResolution": "NodeNext", + "strict": true, + "esModuleInterop": true, + "declaration": true, + "outDir": "dist", + "rootDir": "src", + "skipLibCheck": true + }, + "include": ["src/**/*.ts"] +} diff --git a/docs/content/docs/overview/meta.json b/docs/content/docs/overview/meta.json index df2a1fe..b5e61c5 100644 --- a/docs/content/docs/overview/meta.json +++ b/docs/content/docs/overview/meta.json @@ -8,6 +8,6 @@ "render", "docker", "third-party-prompt-repositories", - "[在线体验](https://infinite-canvas-cpco.onrender.com/)" + "[在线体验](https://canvas.best/)" ] } diff --git a/docs/content/docs/progress/local-agent-integration-plan.mdx b/docs/content/docs/progress/local-agent-integration-plan.mdx new file mode 100644 index 0000000..864c872 --- /dev/null +++ b/docs/content/docs/progress/local-agent-integration-plan.mdx @@ -0,0 +1,248 @@ +--- +title: 本地 Agent 接入规划 +description: 规划通过本地 Canvas Agent、MCP 和侧边栏助手连接 Codex / Claude Code 操作画布 +--- + +# 本地 Agent 接入规划 + +本文档规划个人用户在访问线上画布网页时，如何连接自己电脑上的 Codex / Claude Code，并让 Agent 通过对话和工具调用操作当前画布。 + +## 目标 + +- 用户打开线上画布后，可以启动本机服务连接当前画布。 +- 用户可以在 Codex 终端里通过 MCP 操作画布。 +- 用户也可以在网页侧边栏里和本地 Codex / Claude Code 对话。 +- 侧边栏需要展示普通消息、流式输出、工具调用、工具结果和错误提示。 +- 线上服务不保存用户本地 Codex / Claude Code 登录态、API Key 或本地文件权限。 + +## 核心结论 + +浏览器页面不能直接启动本地进程，也不应该直接控制本机 Codex / Claude Code。推荐增加一个用户本机运行的 `canvas-agent` 服务： + +```txt +线上画布网页 <-> 本机 canvas-agent <-> Codex / Claude Code + | + +-> MCP Server + +-> 画布连接 +``` + +`canvas-agent` 是本地可信边界，负责启动或连接 Codex / Claude Code、暴露 MCP 工具、维护画布连接、转发侧边栏对话事件。 + +## 推荐目录 + +后续实现时建议在项目根目录新增独立 npm 包： + +```txt +canvas-agent/ + package.json + tsconfig.json + src/ + index.ts + config.ts + http-server.ts + canvas-session.ts + mcp-server.ts + agents.ts + schemas.ts + tools.ts + types.ts +``` + +原因： + +- 这是用户本机运行的 Node 服务，不属于线上 Go 后端，也不属于纯前端页面。 +- 后续可以发布成 npm 包，用户通过 `npx` 或全局安装启动。 +- Codex SDK、Codex MCP、Claude SDK 都更适合在本地 Node 进程中接入。 +- HTTP 路由使用 Express，MCP 协议层使用官方 `@modelcontextprotocol/sdk`，工具入参使用 `zod`，避免手写协议和松散 JSON。 + +## 本机启动方式 + +MVP 阶段优先提供 `npx`： + +```bash +npx -y canvas-agent +``` + +在本仓库内开发调试时可直接运行： + +```bash +cd canvas-agent +npm install +npm run build +node dist/index.js +``` + +启动后输出： + +```txt +Infinite Canvas Agent +Local URL: http://127.0.0.1:17371 +Connect token: xxxxxx +``` + +网页侧边栏填写或自动发现 `http://127.0.0.1:17371` 和 token 后连接本机服务。 + +## 前端需要增加的能力 + +前端不直接暴露 HTTP 接口给本机服务，优先由网页主动连接本机 Canvas Agent。当前 MVP 使用 SSE 接收本机事件，HTTP POST 上报画布状态和工具结果： + +```txt +网页 -> http://127.0.0.1:17371/events?token=xxx +网页 -> http://127.0.0.1:17371/canvas/state?token=xxx +网页 -> http://127.0.0.1:17371/canvas/result?token=xxx +``` + +前端需要提供一个画布 Agent 控制层，内部调用现有 store / hook，不直接让外部操作 React 组件： + +```ts +canvasAgent.getState() +canvasAgent.getSelection() +canvasAgent.applyOps(ops) +canvasAgent.focusNodes(ids) +canvasAgent.exportSnapshot() +``` + +建议先支持最小操作集： + +- `add_node`：新增图片、文本、音频、视频、生成配置节点。 +- `update_node`：更新节点位置、尺寸、内容和配置。 +- `delete_node`：删除节点。 +- `connect_nodes`：连接两个节点。 +- `set_viewport`：移动或缩放当前视口。 +- `select_nodes`：选中节点。 + +工具入参应使用画布业务 JSON，不使用模拟鼠标点击或屏幕坐标自动化。 + +MCP 读取画布状态时默认返回摘要，不直接把完整图片、视频、音频或超长 base64 内容塞给 Agent。 + +## MCP 工具设计 + +`canvas-agent` 内置 MCP Server，让 Codex CLI 可以连接： + +```txt +Codex CLI <-> canvas-agent MCP <-> 当前网页画布 +``` + +建议首批 MCP 工具： + +- `canvas_get_state`：读取当前画布节点、连线、选区和视口摘要。 +- `canvas_apply_ops`：批量执行画布操作。 +- `canvas_get_selection`：读取当前选中的节点。 +- `canvas_export_snapshot`：导出当前画布快照，用于让 Agent 理解布局。 +- `canvas_create_text_node`：快捷创建文本节点。 +- `canvas_create_image_prompt_flow`：快捷创建提示词文本节点和图片生成配置节点。 + +用户本机 Codex 配置示例： + +```bash +codex mcp add infinite-canvas -- npx -y canvas-agent mcp +``` + +本仓库调试时可使用，实际配置建议替换为本机绝对路径： + +```bash +codex mcp add infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp +``` + +网页侧边栏助手另走 Canvas Agent 的对话通道。Canvas Agent 使用官方 `@openai/codex` CLI 的 `codex app-server --stdio` 启动并续用同一个 thread，启动时会注入 `infinite-canvas` MCP 配置并把 `default_tools_approval_mode` 设为 `approve`，避免 Codex 自己的 MCP 审批卡住侧边栏；真正修改画布前由网页侧边栏做二次确认。 + +侧边栏图片附件通过 HTTP 发送到本机 Canvas Agent，Canvas Agent 临时写入本机文件后作为 app-server `localImage` 输入传给 Codex；MVP 会在输入区提示附件体积，单次请求体限制为 30MB。 + +## 侧边栏助手设计 + +侧边栏助手连接 `canvas-agent` 后，由 Canvas Agent 选择 Agent Adapter： + +```txt +Sidebar -> canvas-agent -> Codex app-server stdio +Sidebar -> canvas-agent -> Claude Code CLI / Claude Agent SDK +``` + +侧边栏优先展示 Codex app-server 原生结构化事件。前端只消费必要事件： + +```ts +type AgentEvent = + | { type: "thread.started"; thread_id: string } + | { type: "turn.started" } + | { type: "item.started" | "item.updated" | "item.completed"; item: ThreadItem } + | { type: "turn.completed"; usage: Usage } + | { type: "turn.failed"; error: { message: string } }; +``` + +Claude 后续接入时再单独做 Claude Adapter；当前前端默认只展示 Codex。 + +## Codex 接入优先级 + +优先使用官方 `@openai/codex` CLI 的 `codex app-server --stdio`。 + +- Codex app-server 会输出 `item/agentMessage/delta`；Canvas Agent 转成 `item.updated` 后，前端用同一条消息做真实流式渲染。 +- 图片附件使用 app-server `localImage` 输入，不手写多模态协议。 + +参考： + +- https://github.com/openai/codex/tree/main/codex-rs/app-server +- https://developers.openai.com/codex/codex-manual.md + +## Claude Code 接入优先级 + +Claude Code 侧当前 MVP 先调用本机 Claude Code CLI 的流式 JSON 输出，由 `canvas-agent` 统一转换事件和工具调用；后续可升级为 Claude Agent SDK。 + +如果希望 Claude Code 也能操作当前画布，需要给 Claude Code 配置同一个 MCP： + +```bash +claude mcp add --scope user --transport stdio infinite-canvas -- npx -y canvas-agent mcp +``` + +Canvas Agent 调用 Claude Code 时默认允许 `mcp__infinite-canvas__*`，避免 print 模式被工具审批卡住；真正修改画布仍由网页侧边栏确认。 + +参考： + +- https://docs.anthropic.com/en/docs/claude-code/sdk +- https://code.claude.com/docs/en/agent-sdk/typescript + +## 安全边界 + +- Canvas Agent 默认只监听 `127.0.0.1`。 +- Canvas Agent 启动时生成 token，网页连接必须携带 token。 +- Canvas Agent 只接受允许的 Origin，默认允许用户当前打开的画布域名。 +- 画布操作默认先在侧边栏展示工具调用，`canvas_apply_ops` 默认需要用户确认后执行，并保留最近一次工具操作撤销入口。 +- 不把 Codex / Claude 登录态、API Key、用户本地文件路径上传到线上服务。 +- 线上网页只保存 Canvas Agent 地址和必要偏好，不保存本地密钥。 + +## 实现阶段 + +### 第一阶段：Codex 终端操作画布 + +1. 新增 `canvas-agent/` npm 包。 +2. Canvas Agent 提供 SSE/HTTP 连接，网页连接并注册当前画布。 +3. 前端新增 `canvasAgent` 控制层。 +4. Canvas Agent 内置 MCP Server。 +5. Codex 通过 MCP 调用 `canvas_get_state` 和 `canvas_apply_ops`。 + +### 第二阶段：网页侧边栏连接 Codex + +1. 前端新增本地 Agent 侧边栏。 +2. Canvas Agent 通过官方 `@openai/codex` CLI 的 `codex app-server --stdio` 接入 Codex，复用同一个 thread，注入 `infinite-canvas` MCP，并展示结构化事件流。 +3. 运行日志只保留关键 Codex 事件，避免把流式中间更新刷满日志。 +4. 侧边栏展示消息流、工具调用、工具结果、错误和图片附件大小提示。 + +### 第三阶段：接入 Claude Code + +1. Canvas Agent 新增 Claude Code CLI Adapter。 +2. 统一 Claude Code 的消息和工具调用事件。 +3. 前端侧边栏增加 Agent 类型选择。 + +### 第四阶段：体验完善 + +1. 增加本机连接状态、重连和 token 更新。 +2. 优化工具调用确认、撤销和批量工具队列体验。 +3. 增加常用画布动作模板。 +4. 增加 npm 发布和用户安装文档。 + +## MVP 验收标准 + +- 用户运行 `npx -y canvas-agent` 后，线上画布能显示已连接。 +- 用户在 Codex CLI 中可以创建文本节点、移动节点、连接节点。 +- 网页侧边栏能发送一条消息给本地 Codex，并展示流式回复。 +- 网页侧边栏默认只展示本地 Codex，并展示结构化回复。 +- 侧边栏能展示一次 `canvas_apply_ops` 工具调用和结果。 +- 断开 Canvas Agent 后，网页能显示清晰的本机连接失败提示。 diff --git a/docs/content/docs/progress/meta.json b/docs/content/docs/progress/meta.json index f1254f7..84b1325 100644 --- a/docs/content/docs/progress/meta.json +++ b/docs/content/docs/progress/meta.json @@ -4,6 +4,7 @@ "defaultOpen": true, "pages": [ "[更新日志](/docs/progress/changelog)", + "local-agent-integration-plan", "pending-test", "todo" ] diff --git a/docs/content/docs/progress/pending-test.mdx b/docs/content/docs/progress/pending-test.mdx index 7151092..dd5c39a 100644 --- a/docs/content/docs/progress/pending-test.mdx +++ b/docs/content/docs/progress/pending-test.mdx @@ -5,6 +5,7 @@ description: 当前版本已实现但仍需人工验证的变更项 # 待测试 +- 本地 Agent 接入 MVP：新增 `canvas-agent/` 本机 Node 服务，源码使用 TypeScript，HTTP 路由使用 Express，MCP 协议层使用官方 `@modelcontextprotocol/sdk`，工具入参使用 `zod`；支持仓库内 `cd canvas-agent && npm install && npm run build && node dist/index.js` 或发布后 `npx -y canvas-agent` 启动并输出本机地址和 token；根 README 已增加本地 Canvas Agent 入口；Canvas Agent 默认监听 `127.0.0.1`，使用 token 连接并记录允许的网页 Origin；画布右上角新增 `Agent` 面板，默认只展示 Codex，可拖拽调整宽度，并与右侧画布助手一致支持打开/收起宽度动画；Agent 面板首次打开后收起不卸载，网页侧对话、日志、连接配置、等待状态和待确认工具调用会放在 Zustand 内存 store 中保留，暂不持久化且暂不读取 Codex 本地历史；以对话气泡展示用户消息、Codex 文本、工具调用和错误，前端按 Codex `type/item/usage` 事件格式读取 `agent_message`、工具结果和 `turn.completed` 状态，收到真实 `item.updated` 时用同一个消息 ID 流式更新 assistant 文本，未收到 `item.updated` 时不做伪流式，原始事件 JSON 收进独立“运行日志”弹窗，可切换排查日志和原始 JSON，排查日志会合并本地 Agent 地址、连接状态、等待状态、pending tool、发送/接收关键节点，支持复制排查日志和最近错误，`working...` 旁可直接打开日志；连接成功和本轮结束不再写入对话区，状态留在面板头部，运行日志不再记录 item.updated 和 reasoning 噪声事件；对话区去掉单独背景色并融入面板背景，消息内容裸文本展示，不再显示 `Codex`/`You` 名称，Codex 消息保留透明背景 OpenAI 图标，用户消息保留透明背景用户头像或默认用户图标，回复前显示 `working...` 等待状态；工具调用和授权状态改为对话流里的轻量小卡片，`canvas_apply_ops` 在执行前通过内联确认卡片让用户取消或执行，工具卡片会合并执行结果并可展开查看输入、输出和授权详情；底部输入区改为一体式对话框，图片上传入口和发送按钮都在框内，支持选择或粘贴图片、显示附件体积、发送前限制约 30MB，并在用户消息中显示缩略图，图片会通过本机 Canvas Agent 临时写入文件后作为 app-server `localImage` 输入传给 Codex，Canvas Agent 单次请求体限制为 30MB；Canvas Agent 使用官方 `@openai/codex` CLI 的 `codex app-server --stdio` 事件流，复用同一个 Codex thread，并在 app-server 配置中注入 `infinite-canvas` MCP 和 `default_tools_approval_mode = "approve"`，侧边栏无需用户预先全局 `codex mcp add` 也可调用画布工具；Claude Code Adapter 代码暂保留但前端入口先隐藏；画布可响应 `canvas_apply_ops` 工具调用来新增/更新/删除/连接节点、选中节点和调整视口，执行后可撤销最近一次工具操作；Canvas Agent 内置 MCP stdio 模式并向 Codex 返回画布工具使用说明，Codex 终端仍可通过 `codex mcp add infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp` 或发布后的 `codex mcp add infinite-canvas -- npx -y canvas-agent mcp` 调用 `canvas_get_state`、`canvas_get_selection`、`canvas_export_snapshot`、`canvas_apply_ops`、`canvas_create_text_node` 和 `canvas_create_image_prompt_flow`，Claude Code 可通过 `claude mcp add --scope user --transport stdio infinite-canvas -- npx -y canvas-agent mcp` 接入同一组工具；需要验证浏览器连接、侧边栏自动注入 MCP 后的 Codex 工具调用、终端 Codex MCP 工具调用、工具确认/取消/撤销、Codex thread 复用、运行日志弹窗复制、图片附件预览和断开重连提示。 - 视频创作台创建视频任务成功后会立即写入左侧生成记录，状态显示为“生成中”；刷新页面后会读取本地任务 ID 继续轮询，任务成功或失败后更新同一条记录，需要验证 OpenAI 视频接口和 Seedance 任务接口的刷新恢复。 - 修复画布文字节点编辑时双击进入编辑、全选文本出现重影和错位的问题；文字节点内容编辑框改为使用原生 textarea 文本渲染，仍保留 `@` 资源候选插入，需要验证编辑态选区、展示态文字换行和右上角“生图”按钮避让都正常。 - 配置弹窗新增 WebDAV 同步配置，可填写 WebDAV 地址、远程目录、用户名和密码/应用密码，并选择“前端直连”或“Next.js 转发”；远端会按 `canvas/`、`assets/`、`image-workbench/`、`video-workbench/` 四个业务目录分别写入 `manifest.json` 清单和 `files/` 媒体目录，会合并画布项目、我的素材、生图/视频生成记录和引用到的本地媒体文件，四个业务分区会并发同步，并在同步中显示读取远端、检查媒体、上传新增媒体、上传清单等阶段和文件计数进度条；WebDAV 请求会做超时提示，目录已存在但 `MKCOL` 返回 `423 Locked` 时会复查目录存在后继续同步，需要在支持 CORS 的 NAS/WebDAV 服务和不支持 CORS 的 Koofr 转发模式下验证首次上传、第二台设备拉取合并、再次同步和认证失败提示。 diff --git a/docs/content/docs/progress/todo.mdx b/docs/content/docs/progress/todo.mdx index 9327723..658fcb6 100644 --- a/docs/content/docs/progress/todo.mdx +++ b/docs/content/docs/progress/todo.mdx @@ -6,3 +6,5 @@ description: 当前项目后续值得处理的事项 # TODO 本文档用来记录当前项目后续比较值得处理的事项。 + +- 本地 Agent 接入后续：按[本地 Agent 接入规划](/docs/progress/local-agent-integration-plan)把 Claude Code CLI Adapter 升级为 Claude Agent SDK Adapter，完善 Codex SDK thread 恢复入口、工具队列体验和正式 npm 发布流程。 diff --git a/docs/src/app/(home)/page.tsx b/docs/src/app/(home)/page.tsx index 211e2f0..1dfd11b 100644 --- a/docs/src/app/(home)/page.tsx +++ b/docs/src/app/(home)/page.tsx @@ -3,7 +3,7 @@ import { ArrowUpRight, BookOpen, Rocket } from 'lucide-react'; import { appName, gitConfig } from '@/lib/shared'; const githubUrl = `https://github.com/${gitConfig.user}/${gitConfig.repo}`; -const demoUrl = 'https://infinite-canvas-cpco.onrender.com/'; +const demoUrl = 'https://canvas.best/'; const starHistoryUrl = `https://www.star-history.com/?repos=${gitConfig.user}%2F${gitConfig.repo}&type=date`; const starHistoryChart = `https://api.star-history.com/chart?repos=${gitConfig.user}/${gitConfig.repo}&type=date&transparent=true`; const darkStarHistoryChart = `${starHistoryChart}&theme=dark`; diff --git a/docs/src/lib/layout.shared.tsx b/docs/src/lib/layout.shared.tsx index dcb46c3..cb32025 100644 --- a/docs/src/lib/layout.shared.tsx +++ b/docs/src/lib/layout.shared.tsx @@ -28,7 +28,7 @@ export function baseOptions(): BaseLayoutProps { ), - url: 'https://infinite-canvas-cpco.onrender.com/', + url: 'https://canvas.best/', external: true, on: 'nav', }, diff --git a/web/src/app/(user)/canvas/[id]/canvas-client-page.tsx b/web/src/app/(user)/canvas/[id]/canvas-client-page.tsx index ca3be53..a1d6374 100644 --- a/web/src/app/(user)/canvas/[id]/canvas-client-page.tsx +++ b/web/src/app/(user)/canvas/[id]/canvas-client-page.tsx @@ -3,7 +3,7 @@ import { useCallback, useEffect, useLayoutEffect, useMemo, useRef, useState } from "react"; import type { ChangeEvent as ReactChangeEvent, DragEvent as ReactDragEvent, MouseEvent as ReactMouseEvent, PointerEvent as ReactPointerEvent } from "react"; import { useParams, useRouter } from "next/navigation"; -import { BookOpen, Home, ImageIcon, Images, List, Menu, MessageSquare, Music2, Plus, Redo2, Settings2, Trash2, Undo2, Upload, Video } from "lucide-react"; +import { BookOpen, Bot, Home, ImageIcon, Images, List, Menu, MessageSquare, Music2, Plus, Redo2, Settings2, Trash2, Undo2, Upload, Video } from "lucide-react"; import { saveAs } from "file-saver"; import { requestEdit, requestGeneration, requestImageQuestion } from "@/services/api/image"; @@ -27,6 +27,7 @@ import { ActiveConnectionPath, ConnectionPath } from "../components/canvas-conne import { CanvasConfigComposer } from "../components/canvas-config-composer"; import { CanvasConfigNodePanel } from "../components/canvas-config-node-panel"; import { CanvasAssistantPanel } from "../components/canvas-assistant-panel"; +import { CanvasLocalAgentPanel } from "../components/canvas-local-agent-panel"; import { CanvasNodeContextMenu } from "../components/canvas-context-menu"; import { CanvasNodeAngleDialog, type CanvasImageAngleParams } from "../components/canvas-node-angle-dialog"; import { CanvasNodeCropDialog, type CanvasImageCropRect } from "../components/canvas-node-crop-dialog"; @@ -43,6 +44,7 @@ import { CanvasToolbar } from "../components/canvas-toolbar"; import { AssetPickerModal, type AssetPickerTab, type InsertAssetPayload } from "../components/asset-picker-modal"; import { CanvasZoomControls } from "../components/canvas-zoom-controls"; import { useCanvasStore } from "../stores/use-canvas-store"; +import { applyCanvasAgentOps, type CanvasAgentOp, type CanvasAgentSnapshot } from "../utils/canvas-agent-ops"; import { buildCanvasResourceReferences, buildNodeMentionReferences } from "../utils/canvas-resource-references"; import { CanvasNodeType, @@ -290,6 +292,9 @@ function InfiniteCanvasPage() { const [previewNodeId, setPreviewNodeId] = useState(null); const [assistantCollapsed, setAssistantCollapsed] = useState(true); const [assistantMounted, setAssistantMounted] = useState(false); + const [localAgentCollapsed, setLocalAgentCollapsed] = useState(true); + const [localAgentMounted, setLocalAgentMounted] = useState(false); + const [agentUndoSnapshot, setAgentUndoSnapshot] = useState(null); const [titleEditing, setTitleEditing] = useState(false); const [titleDraft, setTitleDraft] = useState(""); const [historyState, setHistoryState] = useState({ canUndo: false, canRedo: false }); @@ -648,6 +653,44 @@ function InfiniteCanvasPage() { nodes.forEach((node) => map.set(node.id, buildNodeMentionReferences(node, nodes, connections))); return map; }, [connections, nodes]); + const agentSnapshot = useMemo( + () => ({ projectId, title: currentProject?.title || "未命名画布", nodes, connections, selectedNodeIds: Array.from(selectedNodeIds), viewport }), + [connections, currentProject?.title, nodes, projectId, selectedNodeIds, viewport], + ); + const applyAgentOps = useCallback( + (ops: CanvasAgentOp[]) => { + const before = { projectId, title: currentProject?.title || "未命名画布", nodes: nodesRef.current, connections: connectionsRef.current, selectedNodeIds: Array.from(selectedNodeIdsRef.current), viewport: viewportRef.current }; + const next = applyCanvasAgentOps(before, ops); + nodesRef.current = next.nodes; + connectionsRef.current = next.connections; + selectedNodeIdsRef.current = new Set(next.selectedNodeIds); + viewportRef.current = next.viewport; + setAgentUndoSnapshot(before); + setNodes(next.nodes); + setConnections(next.connections); + setSelectedNodeIds(new Set(next.selectedNodeIds)); + setSelectedConnectionId(null); + setViewport(next.viewport); + setContextMenu(null); + return { ...next, projectId, title: currentProject?.title || "未命名画布" }; + }, + [currentProject?.title, projectId], + ); + const undoAgentOps = useCallback(() => { + if (!agentUndoSnapshot) return null; + nodesRef.current = agentUndoSnapshot.nodes; + connectionsRef.current = agentUndoSnapshot.connections; + selectedNodeIdsRef.current = new Set(agentUndoSnapshot.selectedNodeIds); + viewportRef.current = agentUndoSnapshot.viewport; + setNodes(agentUndoSnapshot.nodes); + setConnections(agentUndoSnapshot.connections); + setSelectedNodeIds(new Set(agentUndoSnapshot.selectedNodeIds)); + setSelectedConnectionId(null); + setViewport(agentUndoSnapshot.viewport); + setContextMenu(null); + setAgentUndoSnapshot(null); + return { ...agentUndoSnapshot, projectId, title: currentProject?.title || "未命名画布" }; + }, [agentUndoSnapshot, currentProject?.title, projectId]); const createNode = useCallback( (type: CanvasNodeType, position?: Position) => { const targetPosition = position || getCanvasCenter(); @@ -2286,6 +2329,15 @@ function InfiniteCanvasPage() { [insertAssistantImage, insertAssistantText, screenToCanvas, size.height, size.width], ); + const localAgentOpen = localAgentMounted && !localAgentCollapsed; + const openLocalAgent = () => { + setLocalAgentMounted(true); + setLocalAgentCollapsed(false); + }; + const closeLocalAgent = () => { + setLocalAgentCollapsed(true); + }; + if (!projectLoaded) return ; return ( @@ -2309,10 +2361,12 @@ function InfiniteCanvasPage() { onUndo={undoCanvas} onRedo={redoCanvas} assistantCollapsed={assistantCollapsed} + localAgentOpen={localAgentOpen} onExpandAssistant={() => { setAssistantMounted(true); setAssistantCollapsed(false); }} + onToggleLocalAgent={() => (localAgentOpen ? closeLocalAgent() : openLocalAgent())} /> setAssistantMounted(false)} /> ) : null} + {localAgentMounted ? ( + + ) : null} ); } @@ -2634,7 +2698,9 @@ function CanvasTopBar({ onUndo, onRedo, assistantCollapsed, + localAgentOpen, onExpandAssistant, + onToggleLocalAgent, }: { title: string; titleDraft: string; @@ -2653,7 +2719,9 @@ function CanvasTopBar({ onUndo: () => void; onRedo: () => void; assistantCollapsed: boolean; + localAgentOpen: boolean; onExpandAssistant: () => void; + onToggleLocalAgent: () => void; }) { const colorTheme = useThemeStore((state) => state.theme); const theme = canvasThemes[colorTheme]; @@ -2746,9 +2814,18 @@ function CanvasTopBar({ setAccountOpen(false); }} /> + + {assistantCollapsed ? ( <> - + + setAgentState({ token: event.target.value })} placeholder="Agent token" /> +
+ +
+ + +
+
+ + + setAgentState({ logOpen: false })} + onClear={clearEventLogs} + onCopied={(text) => message.success(text)} + onCopyBlocked={(text) => message.warning(text)} + /> + +
+ {messages.map((item) => ( + + ))} + {pendingTool ? : null} + {waiting ? setAgentState({ logOpen: true })} /> : null} +
+ + setAgentState({ prompt })} onSubmit={sendPrompt} onAddFiles={addAttachments} onRemoveAttachment={removeAttachment} /> + + + ); +} + +function AgentComposer({ prompt, attachments, connected, sending, theme, onPromptChange, onSubmit, onAddFiles, onRemoveAttachment }: { prompt: string; attachments: AgentAttachment[]; connected: boolean; sending: boolean; theme: (typeof canvasThemes)[keyof typeof canvasThemes]; onPromptChange: (value: string) => void; onSubmit: () => void; onAddFiles: (files: FileList | File[] | null) => Promise; onRemoveAttachment: (id: string) => void }) { + const fileInputRef = useRef(null); + const canSubmit = connected && !sending && Boolean(prompt.trim() || attachments.length); + const sizeText = attachments.length ? `${formatBytes(attachmentPayloadBytes(attachments))} / 30MB` : ""; + return ( +
event.stopPropagation()}> +
+ {attachments.length ? ( +
+ {attachments.map((item) => ( +
+ {item.name} + +
+ ))} +
+ ) : null} +