ce28f847ce
Use anthropic/claude-sonnet-4.6 (OpenRouter format) instead of anthropic/claude-sonnet-4-20250514 (direct API format).
44 lines
1.5 KiB
YAML
44 lines
1.5 KiB
YAML
# YC-Bench Evaluation -- Default Configuration
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#
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# Long-horizon agent benchmark: agent plays CEO of an AI startup over
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# a simulated 1-3 year run, interacting via yc-bench CLI subcommands.
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#
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# Requires: pip install "hermes-agent[yc-bench]"
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#
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# Usage:
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# python environments/benchmarks/yc_bench/yc_bench_env.py evaluate \
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# --config environments/benchmarks/yc_bench/default.yaml
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#
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# # Override model:
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# python environments/benchmarks/yc_bench/yc_bench_env.py evaluate \
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# --config environments/benchmarks/yc_bench/default.yaml \
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# --openai.model_name anthropic/claude-opus-4-20250514
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env:
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enabled_toolsets: ["terminal"]
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max_agent_turns: 200
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max_token_length: 32000
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agent_temperature: 0.0
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terminal_backend: "local"
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terminal_timeout: 60
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presets: ["fast_test", "medium", "hard"]
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seeds: [1, 2, 3]
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run_timeout: 3600 # 60 min wall-clock per run, auto-FAIL if exceeded
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survival_weight: 0.5 # weight of binary survival in composite score
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funds_weight: 0.5 # weight of normalised final funds in composite score
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db_dir: "/tmp/yc_bench_dbs"
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company_name: "BenchCo"
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start_date: "01/01/2025" # MM/DD/YYYY (yc-bench convention)
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tokenizer_name: "NousResearch/Hermes-3-Llama-3.1-8B"
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use_wandb: true
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wandb_name: "yc-bench"
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ensure_scores_are_not_same: false
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data_dir_to_save_evals: "environments/benchmarks/evals/yc-bench"
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openai:
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base_url: "https://openrouter.ai/api/v1"
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model_name: "anthropic/claude-sonnet-4.6"
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server_type: "openai"
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health_check: false
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# api_key loaded from OPENROUTER_API_KEY in .env
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