{"data":{"kind":"file","path":"README.md","version_id":"on3xcnmmxda8zbnjynee3sey","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1047,"modified_at":"2025-09-16T05:56:43.950000","content_hash":"a926bda09821f42dc20f7cef01c2abc21daf6de5614d6c2f7bbcc4e08cc6efb6"},"entries":[],"content":"# peanuts\n\n### Overview\n- **Environment ID**: `peanuts`\n- **Short description**: the model responds with 'peanuts' or it loses. Just testing the framework.\n- **Tags**: <comma-separated tags>\n\n### Datasets\n- **Primary dataset(s)**: you don't want to use this\n- **Source links**: <links>\n- **Split sizes**: <train/eval counts>\n\n### Task\n- **Type**: <single-turn | multi-turn | tool use>\n- **Parser**: <e.g., ThinkParser, XMLParser, custom>\n- **Rubric overview**: reward: 1.0 for 'peanuts' else 0.0\n\n### Quickstart\nYou can use the justfile, if you update it to point to your expected --api-base-url\n\n```bash\njust run\n```\n\nexpanded:\n\n```bash\nuv run vf-eval --api-base-url http://vllm.local:8000/v1 --model model peanuts --num-examples 3 -c 0 -r 1\n```\n\nConfigure model and sampling:\n\n```bash\nuv run vf-eval peanuts   -m gpt-4.1-mini   -n 20 -r 3 -t 1024 -T 0.7   -a '{\"key\": \"value\"}'  # env-specific args as JSON\n```\n\nNotes:\n- Use `-a` / `--env-args` to pass environment-specific configuration as a JSON object.\n\n### Environment Arguments\n\nNone (yet)\n","encoding":"utf-8","truncated":false,"total_bytes":1047},"status":null}