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How to run one bounded task through a Planner and the simulator with Open ETA

Send a single instruction to the Open ETA agent with a fixed turn limit against a LIBERO scene.

  • Research
  • Intermediate
  • 45 minutes
  • From the README
  • Any agent

Credentials. The Planner endpoint needs its own API access settings, so keep those keys out of logs and shared session files.

Who it is forA developer testing a new OpenAI-compatible Planner model who needs a quick end-to-end check of the perception and action loop.

The problemTesting a Planner against a physical or simulated task usually means wiring many services together before seeing any behavior.

The outcomeThe agent runs one task for up to a set number of turns, and the developer can see how the loop behaves on that scene.

What you need first

  • Python 3.10 or newer and uv installed
  • An OpenAI-compatible Planner LLM or VLM endpoint for any run that reasons over a task
  • One simulator backend installed through scripts/setup_envs.sh, such as libero

Steps

  1. Run uv sync --extra dev in the Open ETA repository folder.
  2. Run bash scripts/setup_envs.sh libero to install the LIBERO simulator backend.
  3. Run uv run python -m sim.mcp_server and keep it running.
  4. Run uv run openeta --once "inspect the current scene" --max-turns 8 after configuring the Planner with /provider in the TUI if needed.

Prompt for your agent

In the OpenETA repo, run `uv run openeta --once "<task text>" --max-turns 8` with the LIBERO simulator MCP service running. Report the final status and whether the environment reports task completion, and do not treat a finished process as task success.

Caveat. The README says a finished process does not imply task success, so check the trusted environment receipt or checker output rather than the exit alone.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for OpenMOSS/OpenETA and "Run one bounded task through a Planner and the simulator"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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