feat(arcrun): implement arcrun MVP — open-source AI workflow engine
Phase 1-5 complete per .agents/specs/u6u-core-mvp/: **Phase 1 — Cherry-pick & cleanup** - Create arcrun/ from cypher-executor, credentials, builtins, registry - Remove 9 InkStone Service Bindings (KBDB, REGISTRY, CLINIC_*, AICEO, MINI_ME) - Rewrite component-loader: 3-layer (builtin → WASM_BUCKET R2 → error) - Remove autoPublishMissing.ts, proxy.ts (AICEO), execution-logger.ts (KBDB) - Clean all KV namespace IDs and InkStone internal URLs from config files **Phase 2 — contract.yaml completeness** - Add credentials_required to gmail, google_sheets, telegram, line_notify - Add config_example to all 21 components with annotated field descriptions **Phase 3 — Credential injection** - Add credential-injector.ts: AES-GCM decrypt from CREDENTIALS_KV - Integrate into GraphExecutor before WASM execution - Structured errors with repair instructions when credential missing **Phase 4 — CLI (acr)** - cli/package.json: arcrun package, bin: acr, deps: commander/js-yaml/chalk/ora - 8 commands: init, creds push, push, run, validate, parts, list, logs - Standard mode: writes directly to user's CF KV via CF REST API - acr init: interactive setup with arcrun.dev API Key registration **Phase 5 — Open source release prep** - README.md: 5-minute quickstart, component table, workflow YAML syntax - CONTRIBUTING.md: TinyGo dev env, component scaffolding, submission flow - Security audit: no InkStone internal URLs/IDs in committed files - .gitignore: exclude credentials.yaml, .wrangler, *.wasm https://claude.ai/code/session_01BnCdSLVH8tUed9VrrPavgT
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#!/usr/bin/env node
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/**
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* arcrun CLI — acr
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* AI Workflow CLI for Cloudflare Workers + WASM
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*
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* 安裝:npm i -g arcrun
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* 使用:acr <指令>
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*/
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import { Command } from 'commander';
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import { cmdInit } from './commands/init.js';
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import { cmdCredsPush } from './commands/creds.js';
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import { cmdPush } from './commands/push.js';
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import { cmdRun } from './commands/run.js';
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import { cmdValidate } from './commands/validate.js';
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import { cmdParts, cmdPartsScaffold, cmdPartsPublish } from './commands/parts.js';
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import { cmdList } from './commands/list.js';
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import { cmdLogs } from './commands/logs.js';
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const program = new Command();
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program
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.name('acr')
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.description('arcrun — AI Workflow CLI for Cloudflare Workers + WASM')
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.version('1.0.0');
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// acr init [--self-hosted]
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program
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.command('init')
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.description('互動式初始化設定(建立 ~/.arcrun/config.yaml)')
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.option('--self-hosted', '使用 Self-hosted 模式(自行部署所有 Worker)')
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.action((options: { selfHosted?: boolean }) => cmdInit(options));
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// acr creds push [credentials.yaml]
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const credsCmd = program.command('creds').description('Credential 管理');
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credsCmd
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.command('push [file]')
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.description('加密上傳 credentials.yaml 至你的 CF KV(不經過 arcrun.dev)')
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.action((file: string) => cmdCredsPush(file ?? 'credentials.yaml'));
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// acr push <workflow.yaml>
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program
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.command('push <file>')
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.description('解析 workflow.yaml 並部署至你的 CF KV')
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.action((file: string) => cmdPush(file));
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// acr run <workflow_name> [--input key=value...]
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program
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.command('run <workflow>')
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.description('執行指定 workflow')
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.option('-i, --input <pairs...>', 'input 參數(格式:key=value)')
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.action((workflow: string, options: { input?: string[] }) => cmdRun(workflow, options));
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// acr validate <workflow.yaml>
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program
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.command('validate <file>')
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.description('執行前驗證 workflow.yaml(格式、關係詞、零件存在性、credentials)')
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.action((file: string) => cmdValidate(file));
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// acr parts
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// acr parts scaffold <component>
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// acr parts publish <component> [--status <submission_id>]
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const partsCmd = program.command('parts').description('零件庫管理');
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partsCmd
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.action(() => cmdParts());
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partsCmd
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.command('scaffold <component>')
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.description('輸出零件的 config 範本(可直接貼入 workflow.yaml)')
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.action((component: string) => cmdPartsScaffold(component));
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partsCmd
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.command('publish <component-dir>')
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.description('提交零件至 arcrun.dev 公眾 registry')
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.option('--status <submission_id>', '查詢提交審核進度')
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.action((dir: string, options: { status?: string }) => cmdPartsPublish(dir, options));
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// acr list
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program
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.command('list')
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.description('列出 CF KV 中所有已部署的 workflow')
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.action(() => cmdList());
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// acr logs <workflow_name>
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program
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.command('logs <workflow>')
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.description('顯示 workflow 最近執行記錄')
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.action((workflow: string) => cmdLogs(workflow));
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program.parse(process.argv);
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