# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. """Fbot Agent Sim Environment Client.""" from typing import Dict from openenv.core import EnvClient from openenv.core.client_types import StepResult from openenv.core.env_server.types import State from .models import FbotAgentSimAction, FbotAgentSimObservation class FbotAgentSimEnv( EnvClient[FbotAgentSimAction, FbotAgentSimObservation, State] ): """ Client for the Fbot Agent Sim Environment. This client maintains a persistent WebSocket connection to the environment server, enabling efficient multi-step interactions with lower latency. Each client instance has its own dedicated environment session on the server. Example: >>> # Connect to a running server >>> with FbotAgentSimEnv(base_url="http://localhost:8000") as client: ... result = client.reset() ... print(result.observation.echoed_message) ... ... result = client.step(FbotAgentSimAction(message="Hello!")) ... print(result.observation.echoed_message) Example with Docker: >>> # Automatically start container and connect >>> client = FbotAgentSimEnv.from_docker_image("fbot_agent_sim-env:latest") >>> try: ... result = client.reset() ... result = client.step(FbotAgentSimAction(message="Test")) ... finally: ... client.close() """ def _step_payload(self, action: FbotAgentSimAction) -> Dict: """ Convert FbotAgentSimAction to JSON payload for step message. Args: action: FbotAgentSimAction instance Returns: Dictionary representation suitable for JSON encoding """ return { "message": action.message, } def _parse_result(self, payload: Dict) -> StepResult[FbotAgentSimObservation]: """ Parse server response into StepResult[FbotAgentSimObservation]. Args: payload: JSON response data from server Returns: StepResult with FbotAgentSimObservation """ obs_data = payload.get("observation", {}) observation = FbotAgentSimObservation( echoed_message=obs_data.get("echoed_message", ""), message_length=obs_data.get("message_length", 0), done=payload.get("done", False), reward=payload.get("reward"), metadata=obs_data.get("metadata", {}), ) return StepResult( observation=observation, reward=payload.get("reward"), done=payload.get("done", False), ) def _parse_state(self, payload: Dict) -> State: """ Parse server response into State object. Args: payload: JSON response from state request Returns: State object with episode_id and step_count """ return State( episode_id=payload.get("episode_id"), step_count=payload.get("step_count", 0), )