HumanAgent Interface

echo_env

Echo Environment



A simple test environment that echoes back messages. Perfect for testing the env APIs as well as demonstrating environment usage patterns.

Quick Start



The simplest way to use the Echo environment is through the EchoEnv class:

from envs.echo_env import EchoAction, EchoEnv

try:
# Create environment from Docker image
echo_env = EchoEnv.from_docker_image("echo-env:latest")

# Reset
result = echo_env.reset()
print(f"Reset: {result.observation.echoed_message}")

# Send multiple messages
messages = ["Hello, World!", "Testing echo", "Final message"]

for msg in messages:
result = echo_env.step(EchoAction(message=msg))
print(f"Sent: '{msg}'")
print(f" → Echoed: '{result.observation.echoed_message}'")
print(f" → Length: {result.observation.message_length}")
print(f" → Reward: {result.reward}")

finally:
# Always clean up
echo_env.close()


That's it! The EchoEnv.from_docker_image() method handles:
  • Starting the Docker container

  • Waiting for the server to be ready

  • Connecting to the environment

  • Container cleanup when you call close()


  • Building the Docker Image



    Before using the environment, you need to build the Docker image:

    From project root


    docker build -t echo-env:latest -f src/envs/echo_env/server/Dockerfile .


    Environment Details



    Action


    EchoAction: Contains a single field
  • message (str) - The message to echo back


  • Observation


    EchoObservation: Contains the echo response and metadata
  • echoed_message (str) - The message echoed back

  • message_length (int) - Length of the message

  • reward (float) - Reward based on message length (length × 0.1)

  • done (bool) - Always False for echo environment

  • metadata (dict) - Additional info like step count


  • Reward


    The reward is calculated as: message_length × 0.1
  • "Hi" → reward: 0.2

  • "Hello, World!" → reward: 1.3

  • Empty message → reward: 0.0


  • Advanced Usage



    Connecting to an Existing Server



    If you already have an Echo environment server running, you can connect directly:

    from envs.echo_env import EchoEnv

    Connect to existing server


    echo_env = EchoEnv(base_url="<ENV_HTTP_URL_HERE>")

    Use as normal


    result = echo_env.reset()
    result = echo_env.step(EchoAction(message="Hello!"))


    Note: When connecting to an existing server, echo_env.close() will NOT stop the server.

    Development & Testing



    Direct Environment Testing



    Test the environment logic directly without starting the HTTP server:

    From the server directory


    python3 src/envs/echo_env/server/test_echo_env.py


    This verifies that:
  • Environment resets correctly

  • Step executes actions properly

  • State tracking works

  • Rewards are calculated correctly


  • Running the Full Example



    Run the complete example that demonstrates the full workflow:

    python3 examples/local_echo_env.py


    This example shows:
  • Creating an environment from a Docker image

  • Resetting and stepping through the environment

  • Automatic cleanup with close()


Project Structure



echo_env/
├── __init__.py # Module exports
├── README.md # This file
├── client.py # EchoEnv client implementation
├── models.py # Action and Observation models
└── server/
├── __init__.py # Server module exports
├── echo_environment.py # Core environment logic
├── app.py # FastAPI application
├── test_echo_env.py # Direct environment tests
└── Dockerfile # Container image definition

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