| name | harbor |
| description | Run Terminal-Bench or any Harbor dataset with Ante as the agent, using the Harbor adapter in the ante repo's ante-harbor/ directory. Use when the user wants to benchmark Ante on Harbor or reproduce Ante's published eval results. |
| metadata | {"argument-hint":"<provider> <model> [task ...]"} |
Run Harbor with Ante
Run Harbor with Ante as the agent. The adapter (ante_agent.py) lives in the ante-harbor/ directory of the ante repo. Harbor imports it and installs Ante inside each task sandbox from the published install script.
Prerequisites
- A checkout of AntigmaLabs/ante, for
ante-harbor/
- uv with Python 3.12
- Docker running: Harbor executes each task in a container
- The provider API key exported in the shell
Run
Resolve the model and provider from the user's request. From the repo's ante-harbor/ directory (so ante_agent:AnteAgent is importable):
uv run --python 3.12 --with harbor harbor run \
--agent ante_agent:AnteAgent \
--model "<model_name>" \
--ak provider=anthropic \
--ak install_args= \
--ae 'ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}' \
--dataset terminal-bench/terminal-bench-2-1 \
--n-attempts 1
Adjust for the request:
provider selects which key Ante reads inside the sandbox. For openai or gemini, forward OPENAI_API_KEY or GEMINI_API_KEY with --ae instead.
install_args picks the Ante build installed in each sandbox: empty for the latest release, or a version to pin.
- Scope: add
-i <task-id> (repeatable) to run specific tasks. Smoke-test one task before a full run unless the user asks otherwise.
- Throughput:
--n-concurrent <n> caps parallel sandboxes. --n-attempts <n> sets attempts per task; published leaderboard runs use 5.
- Custom endpoint: add
--ae 'MODEL_BASE_URL=${MODEL_BASE_URL}' when routing through a proxy.
Read results
Harbor prints a per-task summary and writes a run directory with per-trial output; each trial captures Ante's raw event log from /logs/agent/ante.txt. Task failures do not make harbor exit non-zero, so judge the run by the summary, not the exit code.