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"""Small, serializable environment interface for SFT/RL jobs."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Protocol
class Environment(Protocol):
id: str
def dataset(self, split: str) -> list[dict]:
"""Return the rows for ``split`` (e.g. ``"train"``)."""
def prompt_messages(self, example: dict) -> list[dict]:
"""Chat messages fed to the model for one example."""
def sft_target(self, example: dict) -> str:
"""Assistant target text for an SFT example."""
def reward(self, completion: str, example: dict, state: dict | None = None) -> float:
"""Scalar RL reward for a completion."""
def grade(self, completion: str, example: dict, state: dict | None = None) -> bool:
"""Boolean correctness scorer the reward can build on."""
@dataclass
class BaseEnvironment:
id: str
def dataset(self, split: str) -> list[dict]:
raise NotImplementedError
def prompt_messages(self, example: dict) -> list[dict]:
question = example.get("question") or example.get("prompt") or ""
return [{"role": "user", "content": question}]
def sft_target(self, example: dict) -> str:
return str(example.get("target") or example.get("answer") or "")
def reward(self, completion: str, example: dict, state: dict | None = None) -> float:
return 1.0 if self.grade(completion, example, state) else 0.0
def grade(self, completion: str, example: dict, state: dict | None = None) -> bool:
gold = str(example.get("gold") or example.get("answer") or "").strip()
# A missing/empty gold must NOT grade every completion correct (`"" in x` is
# always True) — treat it as unscorable -> incorrect.
return bool(gold) and gold in (completion or "")