| --- |
| title: 3amBench AlertForge Env |
| emoji: 📟 |
| colorFrom: indigo |
| colorTo: red |
| sdk: docker |
| app_port: 8000 |
| base_path: /web |
| pinned: false |
| license: apache-2.0 |
| tags: [openenv, rl-environment, harbor, prometheus, alertmanager, sre, dense-reward] |
| --- |
| |
| # 3amBench / AlertForge: OpenEnv server |
|
|
| Multi-turn version of the [3amBench Harbor dataset](https://huggingface.co/datasets/openenvforge/3ambench): the agent edits a Prometheus/Alertmanager |
| repo with tools, and every step is graded by the same `grade.py` Harbor uses (promtool + amtool replays of hidden |
| outage scenarios). |
|
|
| ## Actions |
| `{"tool": ...}` with one of `list_files`, `read_file{path}`, `write_file{path, content}`, |
| `replace_in_file{path, old, new}`, `run_checks`, `route_test{labels}`, `submit`. |
|
|
| ## Reset |
| `reset(seed, split="train"|"heldout"|"public", index=None, workflow=None, tier=None)` |
| - `train`: a fresh task generated in-process (unlimited instances; use this for training). |
| - `heldout`: generated from the server-side secret `AF_HELDOUT_SEED`. |
| - `public`: the 30 released Harbor tasks (evaluation only). |
|
|
| ## Reward (`AF_REWARD_MODE`) |
| | mode | per step | terminal | sum | |
| |---|---|---|---| |
| | `parity` (default) | `0.4·ΔΦ` | `+0.6·outcome` | exactly the Harbor `reward` | |
| | `shaped` | `0.3·ΔΦ − 0.002 − 0.01·invalid` (cost cap 0.1) | `+0.6·outcome` | | |
| | `outcome` | 0 | Harbor `reward` | Harbor `reward` | |
|
|
| On `heldout` and `public`, the mode is forced to `outcome` and `metadata.phi` is `null`, so the reward stream |
| cannot be used to probe the hidden checks. (openenv-core 0.3 does not send `metadata` over the wire at all; |
| `phi`/`delta_phi` are available in-process for trainer logging.) |
|
|
| ## Run locally |
| ```bash |
| docker build -t alertforge-env -f openenv/alertforge_env/server/Dockerfile . # from env/alertforge |
| docker run -p 8000:8000 alertforge-env |
| ``` |
| ```python |
| from alertforge_env.client import AlertForgeEnv |
| with AlertForgeEnv(base_url="http://localhost:8000").sync() as env: |
| obs = env.reset(seed=1, split="train", workflow="slo-onboarding", tier="easy") |
| obs = env.step({"tool": "read_file", "path": "README.md"}) |
| ``` |
|
|
