ad042fdd68
- Increased max_token_length from 16000 to 32000 to allow for longer inputs. - Adjusted agent_temperature from 0.6 to 0.8 for more varied responses. - Extended test_timeout from 180 to 600 seconds to accommodate longer evaluations. - Updated data directory path for saving evaluations to ensure proper organization.
36 lines
1.2 KiB
YAML
36 lines
1.2 KiB
YAML
# Terminal-Bench 2.0 Evaluation -- Default Configuration
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#
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# Eval-only environment for the TB2 benchmark (89 terminal tasks).
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# Uses Modal terminal backend for per-task cloud-isolated sandboxes
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# and OpenRouter for inference.
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#
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# Usage:
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# python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
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# --config environments/benchmarks/terminalbench_2/default.yaml
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#
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# # Override model:
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# python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
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# --config environments/benchmarks/terminalbench_2/default.yaml \
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# --openai.model_name anthropic/claude-sonnet-4
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env:
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enabled_toolsets: ["terminal", "file"]
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max_agent_turns: 60
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max_token_length: 32000
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agent_temperature: 0.8
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terminal_backend: "modal"
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dataset_name: "NousResearch/terminal-bench-2"
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test_timeout: 600
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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: "terminal-bench-2"
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ensure_scores_are_not_same: false
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data_dir_to_save_evals: "environments/benchmarks/evals/terminal-bench-2"
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openai:
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base_url: "https://openrouter.ai/api/v1"
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model_name: "anthropic/claude-opus-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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