RAI: Tractor anomaly reasoning demo
Monitor a selected simulated tractor and invoke a vision-capable agent with continue, flash, replan and stop services.
rai-examples-agriculture-demo-py | Record version: source-a960c95918b049dbfc7d16ad92ab627d7e2b8c985e4cbb9bf4cb75fc37201a18
Record JSON | Markdown | Pinned upstream source
Access
Fetch the pinned repository, verify this source checksum, and use upstream installation and invocation. This record does not install or execute code.
Hub preparation adapter: false. Follow the upstream setup and invocation contract.
Source and license
- Repository
- https://github.com/RobotecAI/rai
- Revision
b018729833742c6f71e1e9f332ee2b435676fb4f- Path
examples/agriculture-demo.py- Source SHA256
a960c95918b049dbfc7d16ad92ab627d7e2b8c985e4cbb9bf4cb75fc37201a18- Original authors
- Robotec.AI (per-file copyright notice)
- License
- Apache-2.0
- License scope
- Selected first-party source and per-file notices; excludes models, dependencies, datasets, simulator assets and external service terms.
- License SHA256
c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4- Hub commit
1d6d9eb134e397d910265a8d6e7d8f257f9e8d7f
Artifact
{
"kind": "workflow",
"format": "python",
"workflow_role": "robot-agent"
}
Requirements
{
"python": "Root/core/whoami/perception/semap/s2s use >=3.10,<3.13; standalone finetune uses >=3.10,<3.12. Match sourced ROS distribution Python.",
"packages": [
"Pinned RAI checkout",
"Matching ROS 2 and rai_interfaces",
"Per-workflow packages, local model or hosted-provider dependencies from pinned setup"
],
"display": "Official setup documents ROS 2 Humble/Jazzy, rai_interfaces and feature-specific environment. Nothing installed or runtime verified.",
"execution_domain": "computation",
"source_imports": [
"argparse",
"langchain_core.messages",
"langchain_core.runnables",
"rai",
"rai.agents",
"rai.agents.langchain.core",
"rai.communication.ros2",
"rai.tools.ros2",
"rai.tools.ros2.simple",
"rai.tools.time",
"rai_whoami.models",
"std_srvs.srv",
"threading",
"time"
],
"notes": "Upstream per-workflow profile declarations only; provider availability, dependency resolution and runtime/robot compatibility are unverified.",
"declared_requirements": {
"agent": {
"gpu": "No fixed GPU requirement for the Python wrapper. Local model serving has model-specific hardware requirements; hosted APIs move LLM inference to the provider.",
"external_models": "A configured tool-capable LLM. Vision workflows need a vision-capable model. Pinned config selects OpenAI gpt-4o/gpt-4o-mini by default and declares Ollama, AWS and Google alternatives.",
"api": "Default hosted OpenAI configuration requires credentials and may incur charges. Other hosted vendors require separate access; local Ollama needs a server and separately obtained model. No calls were made.",
"evidence_paths": [
"config.toml",
"docs/setup/vendors.md",
"docs/setup/install.md"
]
}
}
}
Invocation
{
"entrypoint": "python examples/agriculture-demo.py --tractor_number 1",
"notes": "Source/setup invocation shape only; not executed or runtime verified. Source references only; no Hub adapter, compatibility promise, provider access grant or runtime result. Known limits: Requires separate agriculture simulator binary/assets. Source class name SafetyAgent is not evidence of safety certification."
}
Explicit compatibility
[]
Missing environment fields remain unknown. Discovery labels do not establish robot compatibility.
Evidence
Level: source_reviewed; runtime verification: not_run.
Verified exact source, applicable license and author/setup document bytes at a full Git commit; parsed the Python AST and reviewed this guarded operational entrypoint and its explicit license notices. No upstream code, installation, robot command, dataset, mesh or checkpoint was executed or loaded.
Source review and contributor reports do not establish task completion. Preserve upstream attribution and licenses.