| # Harbor run config for the WildAWM XAI task sets. | |
| # | |
| # cp run.example.yaml run.yaml # once, then set model_name | |
| # harbor run -c run.yaml # no agent flags needed | |
| # | |
| # CLI flags override the file, e.g. switch the split with | |
| # harbor run -c run.yaml -p dataset/train-sft-100-set | |
| # Inspect the resolved config with | |
| # harbor run -c run.yaml --print-config | |
| jobs_dir: jobs | |
| n_attempts: 4 # rollout attempts per task | |
| n_concurrent_trials: 8 # concurrent trials | |
| agent_setup_timeout_multiplier: 3 # npm install headroom inside the task image | |
| agents: | |
| - name: opencode | |
| model_name: openai/<model> | |
| kwargs: | |
| version: 1.17.7 # opencode-ai CLI version, the one the benchmark was validated with | |
| datasets: | |
| - path: dataset/val-33-set | |
| environment: | |
| extra_docker_compose: | |
| - tools/host-gateway.yaml | |
| extra_instruction_paths: | |
| - tools/contracts/completion_contract.md | |