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Agent client for OpenEnv environments - connects RL agents to OpenEnv servers for inference and training

Project description

OpenEnv Agent

Python client library for connecting RL agents to OpenEnv servers.

Installation

pip install openenv-agent

Quick Start

from openenv_agent import OpenEnvClient, ModerationAgent

# Connect to an OpenEnv server
client = OpenEnvClient(base_url="http://localhost:8000")

# Reset environment
obs = client.reset()

# Use the moderation agent
agent = ModerationAgent()
action = agent.predict(obs)

# Step the environment
next_obs, reward, done, info = client.step(action)

CLI Usage

# Run agent against a server
openenv-agent run http://localhost:8000

# Interactive mode
openenv-agent interactive http://localhost:8000

# Evaluate on a dataset
openenv-agent eval http://localhost:8000 --dataset ./data.json

Features

  • Async/sync OpenEnv client with Gymnasium-style API
  • Built-in ModerationAgent for content moderation environments
  • Environment loader from openenv.yaml configs
  • CLI tool for easy server interaction

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