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Documentation Index

Fetch the complete documentation index at: https://bedrockdynamics.studio/docs/llms.txt

Use this file to discover all available pages before exploring further.

This guide covers installing the roz CLI, pulling a simulation container, and configuring an LLM provider so the agent can reason about your robot.

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Prerequisites

RequirementMinimum
Rust1.92 or later (rustup.rs)
DockerDocker Desktop or Docker Engine (docker.com)
LLM API keyAnthropic, OpenAI, Google, or local Ollama
Docker must be running before you start a simulation. The code editor, agent runtime, and WASM sandbox work without Docker, but you need a sim container to actually control a robot.

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Install the CLI

Install from crates.io: 
cargo install roz-cli
Or clone and build from source: 
git clone https://github.com/BedrockDynamics/roz-oss.git
cd roz-oss
cargo install --path crates/roz-cli
Verify the installation: 
roz --version

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Pull a Sim Container

Each supported robot has a Docker sim container that bundles Gazebo, the robot’s middleware stack, and an MCP server. Pull the one you want to use: 
docker pull bedrockdynamics/substrate-sim:ros2-manipulator
A 6-DOF UR5 arm in Gazebo with MoveIt2. MCP tools: move_to_pose, get_joint_state, stop_arm. WASM channels: 6 joint velocities.

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Configure Your LLM Provider

The agent needs an LLM to reason about tasks and generate control code. Set the API key for your provider: 
export ANTHROPIC_API_KEY=sk-ant-...
Uses Claude by default. Recommended for WASM code generation — Claude produces the most reliable WAT output.

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Verify Everything

Run the built-in diagnostic to check that all dependencies are configured correctly: 
roz doctor
This checks for:
  • Rust toolchain version
  • Docker availability and daemon status
  • LLM provider connectivity
  • Sim container images on disk
If everything passes, you are ready to start. Head to the Quick Start to control your first robot.