Integrate ae-agent into ArtEval benchmark#131
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Couen wants to merge 3 commits intosys-intelligence:mainfrom
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Integrate ae-agent into ArtEval benchmark#131Couen wants to merge 3 commits intosys-intelligence:mainfrom
Couen wants to merge 3 commits intosys-intelligence:mainfrom
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Co-authored-by: Cursor <cursoragent@cursor.com>
…rmat - Add run_eval.py and main.py to ae_agent for running tasks on host (env=local) or in Docker; run_eval(env, ...) is the single entry point. - Expand utils.py with helpers for main/run_eval (safe_task_id, env_from_item, resolve_project_path, Tee, write_task_report, compute_and_write_summary). - Update ae_agent README with host mode usage and new file descriptions. - Unify arteval_tasks.jsonl to new format: artifact_id, artifact_dir, artifact_readme, artifact_url, env, gpu; remove evaluator/expected_score. - Ignore duplicate task list copies (arteval_tasks copy*.jsonl) in .gitignore.
xuafeng
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Feb 13, 2026
| {"artifact_id": "osdi24_anvil", "artifact_dir": "osdi24_anvil", "artifact_readme": "osdi24_anvil/anvil/README.md", "artifact_url": "https://github.com/anvil-verifier/anvil", "evaluator": "osdi24_anvil/_agent_eval/main.py", "expected_score": 4, "docer_env": "bastoica/ae-agent-ubuntu24.04:latest"} | ||
| {"artifact_id": "sosp23_acto", "artifact_dir": "sosp23_acto", "artifact_readme": "sosp23_acto/acto/README.md", "artifact_url": "https://github.com/xlab-uiuc/acto", "evaluator": "sosp23_acto/_agent_eval/main.py", "expected_score": 4, "docer_env": "bastoica/ae-agent-ubuntu24.04:latest"} | ||
| {"artifact_id": "eurosys25_egwalker", "artifact_dir": "eurosys25_egwalker", "artifact_readme": "eurosys25_egwalker/egwalker/README.md", "artifact_url": "https://github.com/josephg/egwalker-paper", "evaluator": "eurosys25_egwalker/_agent_eval/main.py", "expected_score": 4, "docer_env": "bastoica/ae-agent-ubuntu24.04:latest"} No newline at end of file | ||
| {"artifact_id": "sosp24_wasabi", "artifact_dir": "sosp24_wasabi", "artifact_readme": "sosp24_wasabi/wasabi/README.md", "artifact_url": "https://github.com/bastoica/wasabi/tree/sosp24-ae", "env": "bastoica/ae-agent-ubuntu24.04:latest", "gpu": false} |
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This is benchmark. I think that we need evaluator and expected_scocre, right?
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@Couen Please continue to work on this PR. |
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Summary
benchmarks/arteval_bench/src/agents/ae_agent.benchmarks/arteval_bench/src/main.pyso it can be selected via-a ae_agent.benchmarks/arteval_bench/src/run_eval_in_env.pyto treat ae_agent as a long-running agent: pass tasks via/agent/current_task.txt, stream live logs, and support Anthropic Foundry env vars.README_ae_agent.mdandrun_ae_agent.shunderbenchmarks/arteval_bench/data/benchmarkto document and simplify running ArtEval with ae_agent.Details
_agent_evalremoval before run and re-upload before evaluation, container kept running for inspection)./agent/current_task.txt.ANTHROPIC_FOUNDRY_API_KEY,ANTHROPIC_FOUNDRY_BASE_URL, andCLAUDE_CODE_USE_FOUNDRY.Testing
python benchmarks/arteval_bench/src/main.py -i benchmarks/arteval_bench/data/benchmark/arteval_tasks.jsonl -a ae_agent -m claude-sonnet-4-5-20250929 -o ./outputs/ae_agent_smoke_test(basic smoke test).benchmarks/arteval_bench/data/benchmark/run_ae_agent.sh(helper wrapper around the same command).Made with Cursor