| """Action and observation models. One generic action serves every task.""" |
|
|
| from typing import Any |
|
|
| from openenv.core.env_server.types import Action, Observation |
| from pydantic import Field, model_validator |
|
|
|
|
| class DeskAction(Action): |
| tool: str = Field( |
| description="One of: list, read, python, submit.", |
| ) |
| args: dict[str, Any] = Field( |
| default_factory=dict, |
| description=( |
| 'Tool arguments. read: {"path": "file.csv"} or {"paths": ["a.csv", "b.json"]}. ' |
| 'python: {"code": "print(1+1)"}. submit: {"answer": {...the documented keys...}}. list: {}.' |
| ), |
| ) |
|
|
| @model_validator(mode="before") |
| @classmethod |
| def _fold_stray_keys(cls, data: Any) -> Any: |
| |
| if isinstance(data, dict): |
| known = {"tool", "args", "metadata"} |
| stray = {k: v for k, v in data.items() if k not in known} |
| if stray: |
| data = {k: v for k, v in data.items() if k in known} |
| args = dict(data.get("args") or {}) |
| for k, v in stray.items(): |
| args.setdefault(k, v) |
| data["args"] = args |
| return data |
|
|
|
|
| class DeskObservation(Observation): |
| output: str = Field(default="", description="Task brief at reset, otherwise the result of the last tool call.") |
| steps_left: int = Field(default=0, description="Tool calls left before the episode ends with reward 0.") |
|
|
