"""Command-line entry point for catalog inspection and evaluation runs.""" from __future__ import annotations import argparse import json import os import sys from pathlib import Path from typing import Any, Sequence from benchkit.catalog import load_catalog, validate_repository_catalog from benchkit.registry import create_benchmark, create_policy, registered from AgentPolicies.policy_support.runner import EvaluationRunner, RunRequest def _json_object(value: str) -> dict[str, Any]: try: parsed = json.loads(value) except json.JSONDecodeError as exc: raise argparse.ArgumentTypeError(str(exc)) from exc if not isinstance(parsed, dict): raise argparse.ArgumentTypeError("expected a JSON object") return parsed def _repository_root() -> Path: return Path(__file__).resolve().parents[1] def build_parser() -> argparse.ArgumentParser: """Create the CLI parser without importing simulator dependencies.""" parser = argparse.ArgumentParser(prog="starvla-eval", description="StarVLA-RSI embodied-agent evaluation") subparsers = parser.add_subparsers(dest="command", required=True) catalog_parser = subparsers.add_parser("catalog", help="list benchmark integration targets and status") catalog_parser.add_argument("--json", action="store_true", help="emit machine-readable JSON") catalog_parser.add_argument("--check", action="store_true", help="validate directories and protocol files") list_parser = subparsers.add_parser("list", help="list runnable adapters installed in this environment") list_parser.add_argument("--json", action="store_true") preflight_parser = subparsers.add_parser( "preflight-policy", help="check model-owned local runtime readiness without inference or a benchmark") preflight_parser.add_argument("--model-profile", required=True) preflight_parser.add_argument("--policy-args", type=_json_object, default={}) run_parser = subparsers.add_parser("run", help="run one benchmark-policy evaluation cell") run_parser.add_argument("--benchmark", required=True) policy_selection = run_parser.add_mutually_exclusive_group(required=True) policy_selection.add_argument("--policy") policy_selection.add_argument("--model-profile", help="select a frozen model-folder policy profile") run_parser.add_argument("--benchmark-args", type=_json_object, default={}) run_parser.add_argument("--sim-server", help="evaluator-only http://127.0.0.1:port SIM endpoint") run_parser.add_argument("--sim-server-token-env", default="RSI_SIM_SERVER_TOKEN") run_parser.add_argument("--sim-server-timeout", type=float, default=1200.0) run_parser.add_argument("--policy-args", type=_json_object, default={}) run_parser.add_argument("--output-dir", type=Path, help="defaults to the selected model's results//raw directory") run_parser.add_argument("--seed", type=int, default=0) run_parser.add_argument("--episodes", type=int) run_parser.add_argument("--max-steps", type=int, default=500) run_parser.add_argument("--max-policy-calls", type=int) run_parser.add_argument("--replan-interval", type=int) run_parser.add_argument("--budget-mode", choices=("horizon", "decisions"), default="horizon") run_parser.add_argument( "--policy-min-action-decisions-before-give-up", type=int, help="opt-in persistence preference of the selected policy, not a benchmark budget", ) run_parser.add_argument("--run-id") run_parser.add_argument("--fail-fast", action="store_true") smoke_parser = subparsers.add_parser("smoke", help="run the dependency-free end-to-end self-check") smoke_parser.add_argument("--output-dir", type=Path, default=Path("results/rsi-smoke")) smoke_parser.add_argument("--episodes", type=int, default=3) smoke_parser.add_argument("--seed", type=int, default=0) return parser def _print_catalog(as_json: bool) -> None: entries = load_catalog() if as_json: print(json.dumps([entry.__dict__ | {"tags": list(entry.tags)} for entry in entries], indent=2)) return print(f"{'ID':<20} {'STATUS':<18} {'PRIORITY':<10} NAME") for entry in entries: print(f"{entry.id:<20} {entry.migration_status:<18} {entry.priority:<10} {entry.display_name}") def _run(args: argparse.Namespace) -> Path: profile = getattr(args, "model_profile", None) if profile is None and str(getattr(args, "policy", "")).strip().lower() == "mailbox": # Compatibility spelling, not a provenance bypass: the executable # anonymous policy still gets its own exact model-source bundle. profile = "anonymous_code_agent" output_dir = args.output_dir if output_dir is None: output_dir = (_repository_root() / "AgentPolicies" / profile / "results" / args.benchmark / "raw" if profile else Path("results/rsi")) request = RunRequest( output_dir=output_dir, seed=args.seed, episode_limit=args.episodes, max_steps=args.max_steps, max_policy_calls=args.max_policy_calls, replan_interval=args.replan_interval, run_id=args.run_id, fail_fast=args.fail_fast, repository=_repository_root(), budget_mode=args.budget_mode, ) policy_args = dict(args.policy_args) minimum = getattr(args, "policy_min_action_decisions_before_give_up", None) if minimum is not None: key = "min_action_decisions_before_give_up" if key in policy_args: raise ValueError("policy persistence rule must be set once: use the flag or --policy-args") policy_args[key] = minimum if profile: from benchkit.model_profiles import create_policy as create_profile_policy, load_profile, preflight_profile if load_profile(profile).get("runtime_preflight"): policy = preflight_profile(profile, **policy_args) else: policy = create_profile_policy(profile, **policy_args) else: policy = create_policy(args.policy, policy_args) if getattr(args, "sim_server", None): from benchkit.sim_server.client import SimServerBenchmarkAdapter if args.benchmark_args: raise ValueError("server owns benchmark parameters; --benchmark-args must be omitted") benchmark = SimServerBenchmarkAdapter(args.sim_server, token=os.environ.get(args.sim_server_token_env, ""), timeout=args.sim_server_timeout) if benchmark.descriptor.name != args.benchmark: raise ValueError("--benchmark must equal the connected server's descriptor.name") else: benchmark = create_benchmark(args.benchmark, args.benchmark_args) return EvaluationRunner().run(benchmark, policy, request) def _preflight(args: argparse.Namespace) -> int: """A model-only command: no run directory, benchmark import or request.""" from benchkit.errors import PolicyPreflightError from benchkit.model_profiles import preflight_profile code = None try: preflight_profile(args.model_profile, **args.policy_args) except PolicyPreflightError as exc: code = exc.code if exc.code in PolicyPreflightError.CODES else "initialization_failed" except Exception: code = "initialization_failed" print(json.dumps({"status": "failed" if code else "passed", "scope": "local_runtime_only", "error_code": code})) return 1 if code else 0 def main(argv: Sequence[str] | None = None) -> int: """Execute one CLI command and return a process status code.""" parser = build_parser() args = parser.parse_args(argv) try: if args.command == "preflight-policy": return _preflight(args) if args.command == "catalog": _print_catalog(args.json) if args.check: errors = validate_repository_catalog(_repository_root()) if errors: for error in errors: print(f"ERROR: {error}", file=sys.stderr) return 1 print("catalog layout: OK", file=sys.stderr) return 0 if args.command == "list": entries = registered() if args.json: print(json.dumps(entries, indent=2, sort_keys=True)) else: for kind, names in entries.items(): print(f"{kind}: {', '.join(names) or '(none)'}") return 0 if args.command == "smoke": args.benchmark = "smoke" args.policy = "scripted" args.benchmark_args = {} args.policy_args = {} args.max_steps = 10 args.max_policy_calls = 10 args.replan_interval = 1 args.budget_mode = "horizon" args.run_id = None args.fail_fast = True run_dir = _run(args) elif args.command == "run": run_dir = _run(args) else: parser.error(f"unsupported command: {args.command}") return 2 except Exception as exc: print(f"error: {type(exc).__name__}: {exc}", file=sys.stderr) return 1 print(run_dir) summary = json.loads((run_dir / "summary.json").read_text(encoding="utf-8")) return 1 if summary["errors"] else 0