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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

210 lines
6.2 KiB
TypeScript

#!/usr/bin/env bun
/**
* LifeOps per-capability GEPA loop (#8795).
*
* This is the file-backed CLI entrypoint around `triggerTraining`: it loads
* recorded real/scenario trajectories, privacy-filters and buckets them through
* the normal training orchestrator, runs the native GEPA backend for one
* LifeOps task, and persists through the existing promotion gate.
*
* Dry run:
* bun run --cwd plugins/plugin-training lifeops:gepa -- \
* --trajectories ../../reports/scenarios/run/trajectories --task calendar_extract --dry-run
*
* Live GEPA/promotion run:
* TRAIN_MODEL_PROVIDER=cerebras CEREBRAS_API_KEY=... \
* bun run --cwd plugins/plugin-training lifeops:gepa -- \
* --trajectories ../../reports/scenarios/run/trajectories --task calendar_extract
*/
import { existsSync, statSync } from "node:fs";
import { readdir, readFile } from "node:fs/promises";
import { join, resolve } from "node:path";
import { parseArgs } from "node:util";
import type { Trajectory } from "@elizaos/agent";
import { OptimizedPromptService } from "@elizaos/core";
import { triggerTraining } from "../src/core/training-orchestrator.js";
import {
LIFEOPS_TRAINING_TASKS,
type TrajectoryTrainingTask,
} from "../src/core/trajectory-task-datasets.js";
type CliArgs = {
dryRun: boolean;
stateDir?: string;
task: TrajectoryTrainingTask;
trajectories: string;
};
const LIFEOPS_TASK_SET = new Set<string>(LIFEOPS_TRAINING_TASKS);
function parseCliArgs(argv: string[]): CliArgs | "help" {
const { values } = parseArgs({
args: argv,
options: {
trajectories: { type: "string" },
task: { type: "string" },
"state-dir": { type: "string" },
"dry-run": { type: "boolean" },
help: { type: "boolean" },
},
allowPositionals: false,
});
if (values.help) return "help";
const trajectories = values.trajectories?.trim();
if (!trajectories) {
throw new Error("--trajectories <file-or-dir> is required");
}
const task = values.task?.trim();
if (!task || !LIFEOPS_TASK_SET.has(task)) {
throw new Error(
`--task must be one of: ${LIFEOPS_TRAINING_TASKS.join(", ")}`,
);
}
return {
dryRun: values["dry-run"] ?? false,
stateDir: values["state-dir"],
task: task as TrajectoryTrainingTask,
trajectories,
};
}
async function listJsonFiles(inputPath: string): Promise<string[]> {
const resolved = resolve(process.cwd(), inputPath);
if (!existsSync(resolved)) {
throw new Error(`trajectory path does not exist: ${resolved}`);
}
const stat = statSync(resolved);
if (stat.isFile()) return [resolved];
if (!stat.isDirectory()) {
throw new Error(
`trajectory path is neither file nor directory: ${resolved}`,
);
}
const out: string[] = [];
const stack = [resolved];
while (stack.length > 0) {
const dir = stack.pop();
if (!dir) continue;
for (const entry of await readdir(dir, { withFileTypes: true })) {
const fullPath = join(dir, entry.name);
if (entry.isDirectory()) stack.push(fullPath);
else if (entry.isFile() && entry.name.endsWith(".json"))
out.push(fullPath);
}
}
out.sort();
return out;
}
function isTrajectory(value: unknown): value is Trajectory {
return (
Boolean(value) &&
typeof value === "object" &&
typeof (value as { trajectoryId?: unknown }).trajectoryId === "string"
);
}
async function readTrajectories(inputPath: string): Promise<Trajectory[]> {
const files = await listJsonFiles(inputPath);
const trajectories: Trajectory[] = [];
for (const file of files) {
const parsed = JSON.parse(await readFile(file, "utf8")) as unknown;
if (Array.isArray(parsed)) {
for (const entry of parsed) {
if (isTrajectory(entry)) trajectories.push(entry);
}
} else if (isTrajectory(parsed)) {
trajectories.push(parsed);
}
}
return trajectories;
}
function makeTrajectoryService(trajectories: Trajectory[]) {
const byId = new Map(
trajectories.map((trajectory, index) => [
trajectory.trajectoryId || `trajectory-${index}`,
trajectory,
]),
);
return {
async listTrajectories() {
return {
trajectories: [...byId.keys()].map((id) => ({ id })),
};
},
async getTrajectoryDetail(id: string) {
return byId.get(id) ?? null;
},
};
}
async function main(): Promise<number> {
const parsed = parseCliArgs(process.argv.slice(2));
if (parsed === "help") {
process.stdout.write(
`Usage: bun run lifeops:gepa -- --trajectories <file-or-dir> --task <lifeops-task> [--dry-run] [--state-dir <dir>]\n`,
);
return 0;
}
const trajectories = await readTrajectories(parsed.trajectories);
if (trajectories.length === 0) {
throw new Error("no recorded trajectory JSON files were found");
}
const resolvedStateDir = parsed.stateDir
? resolve(process.cwd(), parsed.stateDir)
: undefined;
if (resolvedStateDir) {
process.env.TRAINING_STATE_DIR = resolvedStateDir;
process.env.ELIZA_STATE_DIR = resolvedStateDir;
}
const optimizedPromptService = new OptimizedPromptService();
if (resolvedStateDir) {
optimizedPromptService.setStoreRoot(
join(resolvedStateDir, "optimized-prompts"),
);
}
const trajectoryService = makeTrajectoryService(trajectories);
const runtime = {
getService(name: string) {
if (name === "trajectories") return trajectoryService;
if (name === "optimized_prompt") return optimizedPromptService;
return null;
},
logger: {
info: (message: string) => process.stdout.write(`${message}\n`),
warn: (message: string) => process.stderr.write(`${message}\n`),
error: (message: string) => process.stderr.write(`${message}\n`),
},
};
const record = await triggerTraining(runtime, {
backend: "native",
dryRun: parsed.dryRun,
source: "manual",
task: parsed.task,
trajectoryLimit: trajectories.length,
});
process.stdout.write(`${JSON.stringify(record, null, 2)}\n`);
return record.status === "failed" ? 1 : 0;
}
main()
.then((code) => {
process.exitCode = code;
})
.catch((error) => {
process.stderr.write(
`[lifeops-gepa-loop] ${error instanceof Error ? error.message : String(error)}\n`,
);
process.exitCode = 1;
});