Ports es's swe_bench_agentic_adapter into our plugin architecture: - env swe_agentic: per-sample LONG-RUNNING container (official sweb image, /testbed, bash -lc like the testbed startup files expect), single bash tool via function calling, sentinel-submission protocol (COMPLETE_TASK_AND_SUBMIT_FINAL_OUTPUT + patch), git-diff fallback; observations capped at 30k chars - dataset swe_bench_verified_agentic: same princeton source/converter, separate bench name so both variants coexist - recipe: recovered patch + OFFICIAL test_patch applied in-container, FAIL_TO_PASS + capped PASS_TO_PASS via conda testbed pytest, 1800s - config: max_turns 250, env swe_agentic Single-turn swe_bench_verified is untouched. Co-Authored-By: Claude <noreply@anthropic.com>
75 lines
1.6 KiB
YAML
75 lines
1.6 KiB
YAML
default:
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temperature: 0.0
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top_p: 1.0
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stream: true
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max_tokens: 32768
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max_turns: 200
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aime24:
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temperature: 1.0
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repeats: 12
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max_tokens: 8192
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aime25:
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temperature: 1.0
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repeats: 12
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max_tokens: 8192
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aime26:
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temperature: 1.0
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repeats: 12
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max_tokens: 8192
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hmmt26:
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temperature: 1.0
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repeats: 12
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max_tokens: 8192
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imo_answerbench:
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temperature: 1.0
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gpqa_diamond:
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temperature: 1.0
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repeats: 3
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max_tokens: 8192
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mmlu:
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max_tokens: 8192
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mmlu_pro:
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max_tokens: 8192
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cmmlu:
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max_tokens: 8192
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arc:
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max_tokens: 8192
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hellaswag:
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max_tokens: 8192
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winogrande:
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max_tokens: 8192
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simple_qa:
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max_tokens: 8192
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trivia_qa:
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max_tokens: 8192
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humaneval:
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temperature: 1.0
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repeats: 3
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live_code_bench:
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temperature: 1.0
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longbench_v2:
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max_tokens: 8192
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max_input_tokens: 128000
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openai_mrcr:
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max_tokens: 8192
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max_input_tokens: 128000
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bfcl_v3:
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max_tokens: 4096
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env: bfcl_mock # agent 模式:工具调用轨迹 + 官方 AST 判分
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general_fc:
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max_tokens: 4096
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tau2_bench:
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max_tokens: 16384
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env: tau2_official # agent 模式:官方引擎
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max_turns: 200 # 一次完整电话流程(问候→验证→找单→政策→执行→确认)
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swe_bench_verified:
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max_tokens: 32768 # patch 生成预算(diff 可能较长)
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temperature: 0.0 # es 口径:确定性生成 patch
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swe_bench_verified_agentic:
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max_tokens: 4096 # 单轮 bash 命令生成预算(mini-swe-agent 口径)
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temperature: 0.0
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env: swe_agentic # 多轮 agent:bash 探索 /testbed + sentinel 提交
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max_turns: 250 # mini-swe-agent 默认步数
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