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metadata
title: SmolDataEnvs Multi-harness | Native OpenCode
emoji: 馃И
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860

SmolDataEnvs: Native OpenCode

Read the multi-harness RL article 路 Collection 路 Training tutorial

Native OpenCode runs inside the sandbox. The server grades its answer and returns a typed token trace for AsyncGRPO.

opencode_env is deprecated since OpenEnv 0.7.0. This environment remains available for the historical comparison; new runs should use the Harbor Space with harness="opencode". Rebuilding this standalone Space from main will stop working once upstream removes opencode_env.

This folder contains the complete Space source. You can run it locally or deploy it on its own.

Open the deployed UI 路 Space

Read the code

Run locally

Use Python 3.12. From this directory:

uv venv --python 3.12 --seed .venv
source .venv/bin/activate
bash install.sh
hf auth login
export HF_TOKEN="$(hf auth token)"
export DAYTONA_API_KEY="your-key"
bash start.sh

Open http://localhost:7860/. It opens the UI at /web/; the API is at /docs and health at /health. install.sh installs OpenEnv from main and its environment examples from the same checkout. This server needs no GPU or TRL installation.

For agent rollouts, set SANDBOX_VLLM_URL and the secret SANDBOX_VLLM_KEY to an inference endpoint reachable by the sandbox. Training requires engine token IDs and logprobs.

Deploy this folder

python deploy.py --repo YOUR_ORG/smoldataenv-multi-harness-opencode --public

Add HF_TOKEN and DAYTONA_API_KEY as Space secrets. The uploader sends the files in this directory, without generating or swapping application code. It enables the UI and preserves an existing concurrency limit. For a new Space the limit defaults to 40; use --concurrency to change it. CPU Basic serves the API; actual tasks run in Daytona.

You can test the same image locally:

docker build -t smoldataenv-opencode .
docker run --rm -p 7860:7860 -e HF_TOKEN -e DAYTONA_API_KEY smoldataenv-opencode

Runtime downloads, local credentials and old deployment archives are excluded from uploads and Docker builds. Task questions and held-out answers are never bundled into the image; the pinned tasks are prepared at startup.