openclaw
Version:
Multi-channel AI gateway with extensible messaging integrations
279 lines (278 loc) • 12.3 kB
JavaScript
import { t as createLazyImportLoader } from "./lazy-promise-BONnzNfb.js";
import { s as resolveRuntimeServiceVersion } from "./version-Crcn9X9T.js";
import { w as hasSessionAutoModelFallbackProvenance } from "./agent-scope-MrLta7Pq.js";
import { c as parseAgentSessionKey } from "./session-key-utils-Bx3apsJ3.js";
import { i as getRuntimeConfig } from "./io-Gi7-pyU-.js";
import { n as DEFAULT_MODEL, r as DEFAULT_PROVIDER } from "./defaults-mDjiWzE5.js";
import "./config-C9RxTsn1.js";
import { i as resolveMainSessionKey } from "./main-session-Eahn-btj.js";
import { u as resolveStorePath } from "./paths-NEwU8m3X.js";
import { u as resolveSessionTotalTokens } from "./types-D8S_uNvu.js";
import { l as peekSystemEvents } from "./system-events-C5WI3S5a.js";
import { o as resolveCronJobsStorePath } from "./store-_jAmB352.js";
import { i as summarizeRetainedLostTaskAuditFindings, r as summarizeActionableTaskAuditFindings } from "./task-registry.audit-BEOrRfo1.js";
import { t as areRuntimeModelRefsEquivalent } from "./model-runtime-aliases-6XX4uD6a.js";
import { r as resolveHeartbeatSummaryForAgent } from "./heartbeat-summary-B73O--Iv.js";
import { a as createLazyRuntimeSurface } from "./lazy-runtime-D-7_JraP.js";
import { n as readSessionStoreReadOnly, t as listGatewayAgentsBasic } from "./agent-list-CY6dSCpA.js";
//#region src/commands/status.summary.ts
const RECENT_SESSION_LIMIT = 10;
const channelSummaryModuleLoader = createLazyImportLoader(() => import("./channel-summary-BURsao6y.js"));
const channelPluginIdsModuleLoader = createLazyImportLoader(() => import("./channel-plugin-ids-JT38R6k8.js"));
const linkChannelModuleLoader = createLazyImportLoader(() => import("./status.link-channel-DZf88hdH.js"));
const taskRegistryMaintenanceModuleLoader = createLazyImportLoader(() => import("./task-registry.maintenance-DciQfQc1.js"));
function loadChannelSummaryModule() {
return channelSummaryModuleLoader.load();
}
function loadChannelPluginIdsModule() {
return channelPluginIdsModuleLoader.load();
}
function loadLinkChannelModule() {
return linkChannelModuleLoader.load();
}
const loadStatusSummaryRuntimeModule = createLazyRuntimeSurface(() => import("./commands/status.summary.runtime.js"), ({ statusSummaryRuntime }) => statusSummaryRuntime);
function loadTaskRegistryMaintenanceModule() {
return taskRegistryMaintenanceModuleLoader.load();
}
const buildFlags = (entry) => {
if (!entry) return [];
const flags = [];
const think = entry?.thinkingLevel;
if (typeof think === "string" && think.length > 0) flags.push(`think:${think}`);
const verbose = entry?.verboseLevel;
if (typeof verbose === "string" && verbose.length > 0) flags.push(`verbose:${verbose}`);
if (typeof entry?.fastMode === "boolean") flags.push(entry.fastMode ? "fast" : "fast:off");
const reasoning = entry?.reasoningLevel;
if (typeof reasoning === "string" && reasoning.length > 0) flags.push(`reasoning:${reasoning}`);
const elevated = entry?.elevatedLevel;
if (typeof elevated === "string" && elevated.length > 0) flags.push(`elevated:${elevated}`);
if (entry?.systemSent) flags.push("system");
if (entry?.abortedLastRun) flags.push("aborted");
const sessionId = entry?.sessionId;
if (typeof sessionId === "string" && sessionId.length > 0) flags.push(`id:${sessionId}`);
return flags;
};
function discountRetainedLostTaskFailures(tasks, retainedLostCount) {
if (retainedLostCount <= 0 || tasks.failures <= 0) return tasks;
return {
...tasks,
failures: Math.max(0, tasks.failures - retainedLostCount)
};
}
function hasUserPinnedModelSelection(entry) {
if (!entry?.modelOverride) return false;
if (entry.modelOverrideSource === "user") return true;
if (entry.modelOverrideSource === "auto") return false;
return !hasSessionAutoModelFallbackProvenance(entry);
}
function compareSessionCandidatesByUpdatedAt(left, right) {
return (right.updatedAt ?? 0) - (left.updatedAt ?? 0);
}
function listSessionCandidates(store) {
return Object.entries(store).filter(([key]) => key !== "global" && key !== "unknown").map(([key, entry]) => ({
key,
entry,
updatedAt: entry?.updatedAt ?? null
})).toSorted(compareSessionCandidatesByUpdatedAt);
}
/** Removes session paths and recent session details from a status summary. */
function redactSensitiveStatusSummary(summary) {
return {
...summary,
sessions: {
...summary.sessions,
paths: [],
defaults: {
model: null,
contextTokens: null
},
recent: [],
byAgent: summary.sessions.byAgent.map((entry) => ({
...entry,
path: "[redacted]",
recent: []
}))
}
};
}
/** Builds the aggregate status summary for agents, sessions, tasks, heartbeat, and channels. */
async function getStatusSummary(options = {}) {
const { includeSensitive = true, includeChannelSummary = true } = options;
const { classifySessionKey, resolveConfiguredStatusModelRef, resolveContextTokensForModel, resolveSessionRuntimeLabel, resolveSessionModelRef } = await loadStatusSummaryRuntimeModule();
const cfg = options.config ?? getRuntimeConfig();
const channelScopeConfig = options.sourceConfig === void 0 ? { config: cfg } : {
config: cfg,
activationSourceConfig: options.sourceConfig
};
const needsChannelPlugins = includeChannelSummary && await loadChannelPluginIdsModule().then(({ hasConfiguredChannelsForReadOnlyScope }) => hasConfiguredChannelsForReadOnlyScope(channelScopeConfig));
const linkContext = needsChannelPlugins ? await loadLinkChannelModule().then(({ resolveLinkChannelContext }) => resolveLinkChannelContext(cfg, { sourceConfig: options.sourceConfig })) : null;
const agentList = listGatewayAgentsBasic(cfg);
const heartbeatAgents = agentList.agents.map((agent) => {
const summary = resolveHeartbeatSummaryForAgent(cfg, agent.id);
return {
agentId: agent.id,
enabled: summary.enabled,
every: summary.every,
everyMs: summary.everyMs
};
});
const channelSummary = needsChannelPlugins ? await loadChannelSummaryModule().then(({ buildChannelSummary }) => buildChannelSummary(cfg, {
colorize: true,
includeAllowFrom: true,
sourceConfig: options.sourceConfig
})) : [];
const queuedSystemEvents = peekSystemEvents(resolveMainSessionKey(cfg));
const taskMaintenanceModule = await loadTaskRegistryMaintenanceModule();
taskMaintenanceModule.configureTaskRegistryMaintenance({ cronStorePath: resolveCronJobsStorePath(cfg.cron?.store) });
const rawTasks = taskMaintenanceModule.getInspectableTaskRegistrySummary();
const taskAuditFindings = taskMaintenanceModule.getInspectableTaskAuditFindings();
const now = Date.now();
const taskAudit = summarizeActionableTaskAuditFindings(taskAuditFindings, { now });
const taskAuditRetainedLost = summarizeRetainedLostTaskAuditFindings(taskAuditFindings, { now });
const tasks = discountRetainedLostTaskFailures(rawTasks, taskAuditRetainedLost.count);
const resolved = resolveConfiguredStatusModelRef({
cfg,
defaultProvider: DEFAULT_PROVIDER,
defaultModel: DEFAULT_MODEL
});
const configModel = resolved.model ?? "gpt-5.5";
const configContextTokens = resolveContextTokensForModel({
cfg,
provider: resolved.provider ?? "openai",
model: configModel,
contextTokensOverride: cfg.agents?.defaults?.contextTokens,
fallbackContextTokens: 2e5,
allowAsyncLoad: false
}) ?? 2e5;
const storeCache = /* @__PURE__ */ new Map();
const candidateCache = /* @__PURE__ */ new Map();
const loadStore = (storePath) => {
const cached = storeCache.get(storePath);
if (cached) return cached;
const store = readSessionStoreReadOnly(storePath);
storeCache.set(storePath, store);
return store;
};
const loadSessionCandidates = (storePath) => {
const cached = candidateCache.get(storePath);
if (cached) return cached;
const candidates = listSessionCandidates(loadStore(storePath));
candidateCache.set(storePath, candidates);
return candidates;
};
const buildSessionRows = (candidates, opts = {}) => candidates.map(({ key, entry, updatedAt }) => {
const age = updatedAt ? now - updatedAt : null;
const parsedAgentId = parseAgentSessionKey(key)?.agentId;
const agentId = opts.agentIdOverride ?? parsedAgentId;
const configuredForSession = resolveConfiguredStatusModelRef({
cfg,
defaultProvider: DEFAULT_PROVIDER,
defaultModel: DEFAULT_MODEL,
agentId
});
const configuredSessionModel = configuredForSession.model ?? "gpt-5.5";
const configuredSessionModelLabel = `${configuredForSession.provider ?? "openai"}/${configuredSessionModel}`;
const resolvedModel = resolveSessionModelRef(cfg, entry, opts.agentIdOverride);
const model = resolvedModel.model ?? configuredSessionModel ?? null;
const selectedModelLabel = resolvedModel.provider && model ? `${resolvedModel.provider}/${model}` : model;
const modelSelectionDiffers = selectedModelLabel != null && selectedModelLabel !== configuredSessionModelLabel && !areRuntimeModelRefsEquivalent(selectedModelLabel, configuredSessionModelLabel) && hasUserPinnedModelSelection(entry);
const contextTokens = resolveContextTokensForModel({
cfg,
provider: resolvedModel.provider,
model,
contextTokensOverride: entry?.contextTokens,
fallbackContextTokens: configContextTokens ?? void 0,
allowAsyncLoad: false
}) ?? null;
const total = resolveSessionTotalTokens(entry);
const totalTokensFresh = typeof entry?.totalTokens === "number" ? entry?.totalTokensFresh !== false : false;
const remaining = contextTokens != null && total !== void 0 ? Math.max(0, contextTokens - total) : null;
const pct = contextTokens && contextTokens > 0 && total !== void 0 ? Math.min(999, Math.round(total / contextTokens * 100)) : null;
const runtime = resolveSessionRuntimeLabel({
cfg,
entry,
provider: resolvedModel.provider,
model: model ?? "",
agentId,
sessionKey: key
});
return {
agentId,
key,
kind: classifySessionKey(key, entry),
sessionId: entry?.sessionId,
updatedAt,
age,
thinkingLevel: entry?.thinkingLevel,
fastMode: entry?.fastMode,
verboseLevel: entry?.verboseLevel,
traceLevel: entry?.traceLevel,
reasoningLevel: entry?.reasoningLevel,
elevatedLevel: entry?.elevatedLevel,
systemSent: entry?.systemSent,
abortedLastRun: entry?.abortedLastRun,
inputTokens: entry?.inputTokens,
outputTokens: entry?.outputTokens,
cacheRead: entry?.cacheRead,
cacheWrite: entry?.cacheWrite,
totalTokens: total ?? null,
totalTokensFresh,
remainingTokens: remaining,
percentUsed: pct,
model,
configuredModel: configuredSessionModelLabel,
selectedModel: selectedModelLabel,
modelSelectionReason: modelSelectionDiffers ? "session override" : null,
runtime,
contextTokens,
flags: buildFlags(entry)
};
});
const paths = /* @__PURE__ */ new Set();
const byAgent = agentList.agents.map((agent) => {
const storePath = resolveStorePath(cfg.session?.store, { agentId: agent.id });
paths.add(storePath);
const candidates = loadSessionCandidates(storePath);
const sessions = buildSessionRows(candidates.slice(0, RECENT_SESSION_LIMIT), { agentIdOverride: agent.id });
return {
agentId: agent.id,
path: storePath,
count: candidates.length,
recent: sessions
};
});
const allSessions = Array.from(paths).flatMap((storePath) => loadSessionCandidates(storePath)).toSorted((a, b) => (b.updatedAt ?? 0) - (a.updatedAt ?? 0));
const recent = buildSessionRows(allSessions.slice(0, RECENT_SESSION_LIMIT));
const totalSessions = allSessions.length;
const summary = {
runtimeVersion: resolveRuntimeServiceVersion(process.env),
linkChannel: linkContext ? {
id: linkContext.plugin.id,
label: linkContext.plugin.meta.label ?? "Channel",
linked: linkContext.linked,
authAgeMs: linkContext.authAgeMs
} : void 0,
heartbeat: {
defaultAgentId: agentList.defaultId,
agents: heartbeatAgents
},
channelSummary,
queuedSystemEvents,
tasks,
taskAudit,
...taskAuditRetainedLost.count > 0 ? { taskAuditRetainedLost } : {},
sessions: {
paths: Array.from(paths),
count: totalSessions,
defaults: {
model: configModel ?? null,
contextTokens: configContextTokens ?? null
},
recent,
byAgent
}
};
return includeSensitive ? summary : redactSensitiveStatusSummary(summary);
}
//#endregion
export { redactSensitiveStatusSummary as n, getStatusSummary as t };