|
| 1 | +""" |
| 2 | +Console launcher for the Human-in-the-Loop Generic Agent UI. |
| 3 | +
|
| 4 | +Usage (installed entry point): |
| 5 | + agentlab-hint-ui --benchmark miniwob --task-name miniwob.book-flight --seed 123 |
| 6 | +
|
| 7 | +This will run a Study with the MultipleProposalGenericAgent and the selected task. |
| 8 | +""" |
| 9 | + |
| 10 | +from __future__ import annotations |
| 11 | + |
| 12 | +import argparse |
| 13 | +import logging |
| 14 | +from typing import Optional |
| 15 | + |
| 16 | +import bgym |
| 17 | + |
| 18 | +from agentlab.agents.hitl_agent.generic_human_guided_agent import ( |
| 19 | + HUMAN_GUIDED_GENERIC_AGENT, |
| 20 | +) |
| 21 | +from agentlab.experiments.study import Study |
| 22 | + |
| 23 | + |
| 24 | +def build_benchmark(benchmark_name: str, task_name: Optional[str], seed: Optional[int]): |
| 25 | + # Instantiate benchmark by name using BrowserGym registry |
| 26 | + try: |
| 27 | + benchmark = bgym.DEFAULT_BENCHMARKS[benchmark_name.lower()]() |
| 28 | + except KeyError as e: |
| 29 | + choices = ", ".join(sorted(bgym.DEFAULT_BENCHMARKS.keys())) |
| 30 | + raise SystemExit(f"Unknown benchmark '{benchmark_name}'. Choose one of: {choices}") from e |
| 31 | + |
| 32 | + if task_name: |
| 33 | + # If a fully-qualified name is provided, filter by exact match; otherwise, allow glob |
| 34 | + if any(ch in task_name for ch in "*?[]"): |
| 35 | + benchmark = benchmark.subset_from_glob("task_name", task_name) |
| 36 | + else: |
| 37 | + benchmark = benchmark.subset_from_glob("task_name", task_name) |
| 38 | + |
| 39 | + # If a specific seed is provided, set it on all env args |
| 40 | + if seed is not None: |
| 41 | + for env_args in benchmark.env_args_list: |
| 42 | + env_args.task_seed = seed |
| 43 | + |
| 44 | + # Reasonable defaults for interactive UI |
| 45 | + for env_args in benchmark.env_args_list: |
| 46 | + env_args.max_steps = env_args.max_steps or 100 |
| 47 | + # Leave headless True by default; UI is external Gradio, not browser GUI |
| 48 | + env_args.headless = True |
| 49 | + |
| 50 | + return benchmark |
| 51 | + |
| 52 | + |
| 53 | +def parse_args(): |
| 54 | + p = argparse.ArgumentParser(description="Run HITL Generic Agent UI on a benchmark task") |
| 55 | + p.add_argument( |
| 56 | + "--benchmark", |
| 57 | + required=True, |
| 58 | + help="Benchmark name as registered in BrowserGym, e.g., miniwob, workarena_l1, webarena, visualwebarena", |
| 59 | + ) |
| 60 | + p.add_argument( |
| 61 | + "--task-name", |
| 62 | + dest="task_name", |
| 63 | + default=None, |
| 64 | + help="Task name or glob to filter tasks within the benchmark (e.g., 'miniwob.*book*')", |
| 65 | + ) |
| 66 | + p.add_argument( |
| 67 | + "--seed", |
| 68 | + type=int, |
| 69 | + default=None, |
| 70 | + help="Task seed to use for all selected tasks. If omitted, tasks keep their configured/random seed.", |
| 71 | + ) |
| 72 | + p.add_argument( |
| 73 | + "--jobs", |
| 74 | + type=int, |
| 75 | + default=1, |
| 76 | + help="Number of parallel jobs (UI agent typically runs sequentially)", |
| 77 | + ) |
| 78 | + p.add_argument( |
| 79 | + "--parallel-backend", |
| 80 | + default="sequential", |
| 81 | + choices=["sequential", "ray", "joblib"], |
| 82 | + help="Parallel backend to use", |
| 83 | + ) |
| 84 | + p.add_argument( |
| 85 | + "--retries", |
| 86 | + type=int, |
| 87 | + default=1, |
| 88 | + help="Number of relaunch attempts for incomplete experiments", |
| 89 | + ) |
| 90 | + p.add_argument( |
| 91 | + "--log-level", |
| 92 | + default="WARNING", |
| 93 | + choices=["DEBUG", "INFO", "WARNING", "ERROR"], |
| 94 | + help="Logging level", |
| 95 | + ) |
| 96 | + return p.parse_args() |
| 97 | + |
| 98 | + |
| 99 | +def main(): |
| 100 | + args = parse_args() |
| 101 | + |
| 102 | + logging_level = getattr(logging, args.log_level) |
| 103 | + |
| 104 | + benchmark = build_benchmark(args.benchmark, args.task_name, args.seed) |
| 105 | + agent_configs = [HUMAN_GUIDED_GENERIC_AGENT] |
| 106 | + |
| 107 | + study = Study( |
| 108 | + agent_configs, |
| 109 | + benchmark, |
| 110 | + logging_level=logging_level, |
| 111 | + logging_level_stdout=logging_level, |
| 112 | + ) |
| 113 | + |
| 114 | + study.run( |
| 115 | + n_jobs=args.jobs, |
| 116 | + parallel_backend=args.parallel_backend, |
| 117 | + n_relaunch=args.retries, |
| 118 | + ) |
| 119 | + |
| 120 | + |
| 121 | +if __name__ == "__main__": |
| 122 | + main() |
0 commit comments