arcrun — AI workflow execution engine (clean history)
Self-hosted 開源:WASM 零件 + recipe + cypher-executor,跑在你自己的 Cloudflare。 此為重建的乾淨歷史起點(移除曾誤 commit 的 GCP SA 金鑰,舊歷史保留在 richblack/arcrun 與本地 backup 分支)。含: - acr init --self-hosted installer(建 KV/R2 + codeload 拉預編譯 wasm + wrangler deploy + seed recipe) - recipe push 把關(資料外流提醒 + 打通檢查) - 19 個正當零件預編譯 wasm(claude_api/km_writer/kbdb_upsert_block 排除:違反 DECISIONS §1) - CLI / cypher-executor / registry / 完整 SDD Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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/**
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* Executions routes — LI SDD M2.1
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*
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* 對應 .agents/specs/llm-interface/ Milestone 2.1。給 AI 看 workflow 執行狀態的端點。
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*
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* - GET /executions/paused — 列當前所有 paused 的 workflow(等 callback resume)
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* - GET /executions/:task_id — 看單一 paused state 細節(含 trace、graph、node id)
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* - GET /workflows/:name/executions — 列某 workflow 最近 N 次執行 verdict
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*
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* 設計:純讀,無 side effect。所有路由要 api_key auth(防偷看他人 workflow state)。
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*/
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import { Hono } from 'hono';
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import type { Bindings } from '../types';
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import { listPausedRunsByApiKey } from '../lib/paused-runs';
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export const executionsRouter = new Hono<{ Bindings: Bindings }>();
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/**
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* GET /executions/paused — 列當前 api_key 下所有 paused workflow
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*
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* 走 per-user index `paused_idx:{api_key}`(單 KV get,強 consistent,無 KV list 延遲)
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* 取代舊的 `paused_run:*` prefix scan(CF KV list 30-60 秒 eventual consistent)
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*/
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executionsRouter.get('/executions/paused', async (c) => {
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const apiKey = c.req.header('X-Arcrun-API-Key');
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if (!apiKey) {
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return c.json({
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ok: false,
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error_code: 'auth_missing',
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human_message: '缺 X-Arcrun-API-Key header',
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next_actions: ['call /me 取得你的 ak_xxx,加進 header'],
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}, 401);
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}
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const limitParam = c.req.query('limit');
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const limit = Math.min(Math.max(parseInt(limitParam || '20', 10), 1), 100);
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const paused = await listPausedRunsByApiKey(c.env.EXEC_CONTEXT, apiKey, limit);
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return c.json({
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ok: true,
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data: { count: paused.length, paused },
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hints: paused.length > 0
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? [`${paused.length} 個 workflow 等 callback resume。call get_execution_trace(task_id) 看細節`]
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: ['沒有任何 paused workflow'],
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});
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});
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/**
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* GET /executions/:task_id — 看單一 paused workflow 的 state(trace、graph、context)
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*
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* task_id 來源:trigger workflow 時 response 含 paused 結果,task_id 在 error 字串裡,
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* 或前端 list_paused_executions 回的 task_id。
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*
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* 隔離:只能讀自己 api_key 的 state。
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*/
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executionsRouter.get('/executions/:task_id', async (c) => {
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const apiKey = c.req.header('X-Arcrun-API-Key');
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if (!apiKey) {
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return c.json({
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ok: false,
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error_code: 'auth_missing',
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human_message: '缺 X-Arcrun-API-Key header',
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next_actions: ['加 X-Arcrun-API-Key header'],
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}, 401);
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}
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const taskId = c.req.param('task_id');
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const raw = await c.env.EXEC_CONTEXT.get(`paused_run:${taskId}`);
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if (!raw) {
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return c.json({
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ok: false,
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error_code: 'not_found',
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human_message: `task_id "${taskId}" 沒對應的 paused state(可能已 resume 完、過 24h TTL 被 GC、或從未存在)`,
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next_actions: [
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'call /executions/paused 看當前所有 paused,確認 task_id 正確',
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'若該 workflow 不是 paused 型,看 /workflows/:name/executions 查歷史 verdict',
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],
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}, 404);
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}
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let state: {
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run_id: string;
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graph?: unknown;
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paused_node_id: string;
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paused_context?: Record<string, unknown>;
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paused_pending_result?: Record<string, unknown>;
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trace_so_far?: unknown;
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api_key?: string;
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expires_at?: number;
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};
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try {
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state = JSON.parse(raw);
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} catch {
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return c.json({
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ok: false,
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error_code: 'internal_error',
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human_message: 'paused state JSON 損毀',
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next_actions: ['告訴 leo / 平台維護者'],
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}, 500);
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}
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if (state.api_key !== apiKey) {
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return c.json({
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ok: false,
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error_code: 'not_found', // 不洩漏存在性
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human_message: `task_id "${taskId}" 找不到`,
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next_actions: ['確認 task_id 屬於你 (用 /executions/paused 列出)'],
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}, 404);
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}
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return c.json({
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ok: true,
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data: {
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task_id: taskId,
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run_id: state.run_id,
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paused_node_id: state.paused_node_id,
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paused_context: state.paused_context,
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paused_pending_result: state.paused_pending_result,
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trace_so_far: state.trace_so_far,
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expires_at: state.expires_at,
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},
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hints: [
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'paused 狀態 = workflow 等 daemon callback。等對應 service 回 POST /workflows/resume 即可繼續',
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'若 daemon 掛了,看 expires_at — 過 24h KV TTL 會 GC 此 state',
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],
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});
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});
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/**
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* GET /workflows/:name/executions — 看某 workflow 最近 N 次執行 verdict
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*
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* 走 ANALYTICS_KV `stats:{workflowId}:*` prefix scan。
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*
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* workflowId 等於 webhook name(execution-logger 寫入時用 graph.id ?? name)。
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*
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* 限制:ANALYTICS_KV list 沒辦法依 timestamp 排序,只能拿 key 後段 timestamp 排。
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*/
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executionsRouter.get('/workflows/:name/executions', async (c) => {
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const apiKey = c.req.header('X-Arcrun-API-Key');
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if (!apiKey) {
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return c.json({
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ok: false,
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error_code: 'auth_missing',
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human_message: '缺 X-Arcrun-API-Key header',
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next_actions: ['加 X-Arcrun-API-Key header'],
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}, 401);
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}
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const name = c.req.param('name');
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const limitParam = c.req.query('limit');
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const limit = Math.min(Math.max(parseInt(limitParam || '10', 10), 1), 100);
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// 確認 workflow 是該 api_key 的(防偷看他人)
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const wfRaw = await c.env.WEBHOOKS.get(`${apiKey}:wf:${name}`, 'text');
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if (!wfRaw) {
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return c.json({
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ok: false,
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error_code: 'not_found',
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human_message: `workflow "${name}" 不存在或不屬於你`,
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next_actions: ['call /webhooks/named 看你有什麼 workflow'],
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}, 404);
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}
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// 撈 stats:{name}:* 全 list(每個 key 含 timestamp 後綴)
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const list = await c.env.ANALYTICS_KV.list({ prefix: `stats:${name}:`, limit: 1000 });
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// 按 timestamp 降序(key suffix 是 unix ms)
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const sorted = [...list.keys].sort((a, b) => {
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const ta = parseInt(a.name.split(':').pop() ?? '0', 10);
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const tb = parseInt(b.name.split(':').pop() ?? '0', 10);
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return tb - ta;
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}).slice(0, limit);
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const executions = [];
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for (const key of sorted) {
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const raw = await c.env.ANALYTICS_KV.get(key.name);
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if (!raw) continue;
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try {
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const record = JSON.parse(raw);
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executions.push({
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timestamp: key.name.split(':').pop(),
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...record,
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});
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} catch {
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// skip
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}
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}
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return c.json({
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ok: true,
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data: {
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workflow_name: name,
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count: executions.length,
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executions,
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},
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hints: executions.length === 0
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? ['尚未有任何執行紀錄(或都過了 90d TTL)。先 call /webhooks/named/:name/trigger 跑一次']
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: [`最近 ${executions.length} 次。看到 verdict=failed 的,call /executions/:task_id 看 paused state 或繼續 debug`],
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});
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});
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