import fs from "node:fs/promises"; import os from "node:os"; import path from "node:path"; import { pathToFileURL } from "node:url"; import { deriveSkynetCausalLabelCounts } from "../causal-valence/episode-ledger.js"; import { collectSkynetSessionTranscriptFiles } from "../causal-valence/observability-audit.js"; import { harvestSkynetObservedCausalEpisodes } from "../causal-valence/observed-harvester.js"; import { createSkynetCognitiveKernelState, updateSkynetCognitiveKernelState, } from "../cognitive-kernel/min-kernel.js"; import { loadSkynetCognitiveKernelState, writeSkynetCognitiveKernelState, } from "../cognitive-kernel/state-store.js"; import { buildSkynetRuntimeTrajectorySamples, encodeSkynetRuntimeTrajectoryFeatures, } from "../runtime-observer/trajectory-builder.js"; export type SkynetCognitiveKernelLive01Result = { sessionKey: string; updatedAt: number; projectName: string; harvestedEpisodes: number; trajectorySamples: number; ingestedSamples: number; skippedSamples: number; observedCount: number; scannedSessionFiles: string[]; sourceLabelCoverage: ReturnType; statePath: string; }; function sanitizeSessionKey(sessionKey: string): string { return (sessionKey.trim() || "main").replace(/[^a-zA-Z0-9._-]+/g, "_").slice(0, 64) || "main"; } function defaultSessionsDir(): string { return path.join(os.homedir(), ".openskynet", "agents", "main", "sessions"); } export function resolveSkynetCognitiveKernelLive01JsonPath(params: { workspaceRoot: string; sessionKey: string; }): string { return path.join( params.workspaceRoot, ".openskynet", "skynet-experiments", `${sanitizeSessionKey(params.sessionKey)}-cognitive-kernel-live-01.json`, ); } async function runSkynetCognitiveKernelLive01(params: { workspaceRoot: string; sessionKey: string; lookback?: number; sessionsDir?: string; }): Promise { const lookback = Math.max(1, Math.min(6, params.lookback ?? 3)); const sessionFiles = await collectSkynetSessionTranscriptFiles( params.sessionsDir ?? defaultSessionsDir(), ); const harvested = await harvestSkynetObservedCausalEpisodes({ sessionFiles }); const trajectorySamples = buildSkynetRuntimeTrajectorySamples({ episodes: harvested.episodes, lookback, }); const loadedState = await loadSkynetCognitiveKernelState({ workspaceRoot: params.workspaceRoot, sessionKey: params.sessionKey, }); const featureDimensions = trajectorySamples.length > 0 ? encodeSkynetRuntimeTrajectoryFeatures(trajectorySamples[0]).length : 0; const baseState = loadedState && loadedState.featureDimensions === featureDimensions ? loadedState : trajectorySamples.length > 0 ? createSkynetCognitiveKernelState({ featureDimensions, }) : null; if (!baseState) { throw new Error("No trajectory samples available to update cognitive kernel state."); } const updated = updateSkynetCognitiveKernelState({ state: baseState, samples: trajectorySamples, }); await writeSkynetCognitiveKernelState({ workspaceRoot: params.workspaceRoot, sessionKey: params.sessionKey, state: updated.state, }); const statePath = path.join( params.workspaceRoot, ".openskynet", "skynet-experiments", `${sanitizeSessionKey(params.sessionKey)}-cognitive-kernel-state.json`, ); const result: SkynetCognitiveKernelLive01Result = { sessionKey: params.sessionKey, updatedAt: Date.now(), projectName: "Skynet", harvestedEpisodes: harvested.episodes.length, trajectorySamples: trajectorySamples.length, ingestedSamples: updated.ingestedCount, skippedSamples: updated.skippedCount, observedCount: updated.state.observedCount, scannedSessionFiles: sessionFiles, sourceLabelCoverage: deriveSkynetCausalLabelCounts(harvested.episodes), statePath, }; const jsonPath = resolveSkynetCognitiveKernelLive01JsonPath(params); await fs.mkdir(path.dirname(jsonPath), { recursive: true }); await fs.writeFile(jsonPath, JSON.stringify(result, null, 2) + "\n", "utf-8"); return result; } async function main() { const result = await runSkynetCognitiveKernelLive01({ workspaceRoot: process.cwd(), sessionKey: "agent:openskynet:main", }); console.log(`--- ${result.projectName} Experiment: Cognitive Kernel Live 01 ---`); console.log(`Episodes: ${result.harvestedEpisodes}`); console.log(`Trajectory samples: ${result.trajectorySamples}`); console.log(`Ingested: ${result.ingestedSamples}`); console.log(`Skipped: ${result.skippedSamples}`); console.log(`Observed count: ${result.observedCount}`); } if (process.argv[1] && import.meta.url === pathToFileURL(process.argv[1]).href) { main().catch((error) => { console.error(error); process.exitCode = 1; }); } export { runSkynetCognitiveKernelLive01 };