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db4fa53 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | from __future__ import annotations
from typing import Any
from pydantic import BaseModel, Field
class OpenEnvTaskSummary(BaseModel):
task_id: str
task_type: str
question: str
difficulty: str = "unknown"
grader: dict[str, Any] = Field(default_factory=dict)
class OpenEnvObservationModel(BaseModel):
tool_outputs: list[dict[str, Any]]
graph_snapshot: dict[str, Any]
action_history: list[dict[str, Any]]
task: dict[str, Any]
class OpenEnvResetRequest(BaseModel):
task_id: str | None = None
task_index: int | None = None
class OpenEnvActionRequest(BaseModel):
session_id: str | None = Field(
default=None,
description="Session identifier. Optional for /step compatibility alias, which uses the latest session.",
)
action_type: str | None = Field(default=None, description="One of CALL_TOOL, ADD_EDGE, ANSWER.")
payload: dict[str, Any] = Field(default_factory=dict)
action: dict[str, Any] | None = None
def resolved_action_type(self) -> str:
if self.action_type:
return str(self.action_type)
if isinstance(self.action, dict):
nested = self.action.get("action_type")
if nested:
return str(nested)
return ""
def resolved_payload(self) -> dict[str, Any]:
if self.payload:
return dict(self.payload)
if isinstance(self.action, dict):
nested = self.action.get("payload")
if isinstance(nested, dict):
return dict(nested)
return {}
class OpenEnvResponseEnvelope(BaseModel):
session_id: str
observation: OpenEnvObservationModel
reward: float
done: bool
info: dict[str, Any]
class OpenEnvInferenceReportRequest(BaseModel):
run: dict[str, Any] = Field(default_factory=dict)
summary: dict[str, Any]
episodes: list[dict[str, Any]] = Field(default_factory=list)
class OpenEnvInferenceReportResponse(BaseModel):
status: str
output_path: str
dashboard_path: str
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