0ea6c34325
Introduced a new evaluation environment for OpenThoughts-TBLite, including the main evaluation script, configuration YAML, and README documentation. This environment provides a faster alternative to Terminal-Bench 2.0, featuring 100 difficulty-calibrated tasks for terminal agents. The setup allows for easy evaluation and configuration, enhancing the benchmarking capabilities for terminal agents.
40 lines
1.5 KiB
YAML
40 lines
1.5 KiB
YAML
# OpenThoughts-TBLite Evaluation -- Default Configuration
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#
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# Eval-only environment for the TBLite benchmark (100 difficulty-calibrated
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# terminal tasks, a faster proxy for Terminal-Bench 2.0).
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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/tblite/tblite_env.py evaluate \
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# --config environments/benchmarks/tblite/default.yaml
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#
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# # Override model:
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# python environments/benchmarks/tblite/tblite_env.py evaluate \
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# --config environments/benchmarks/tblite/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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terminal_timeout: 300 # 5 min per command (builds, pip install)
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tool_pool_size: 128 # thread pool for 100 parallel tasks
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dataset_name: "NousResearch/openthoughts-tblite"
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test_timeout: 600
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task_timeout: 1200 # 20 min wall-clock per task (TBLite tasks are faster)
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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: "openthoughts-tblite"
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ensure_scores_are_not_same: false
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data_dir_to_save_evals: "environments/benchmarks/evals/openthoughts-tblite"
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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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