wehub-resource-sync
33 lines
1.4 KiB
Markdown
33 lines
1.4 KiB
Markdown
# Sandbox resume
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This example shows a small sandbox resume flow with `AGENTS.md` mounted in the sandbox and loaded into the agent instructions. It runs in two
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steps: first it builds the app and smoke tests it, then it serializes the
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sandbox session state, resumes the sandbox, and adds pytest coverage.
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By default the agent builds a tiny warehouse-robot status API, smoke-tests it, then resumes the same sandbox to add tests. The sandbox workspace starts with
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one instruction file:
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- `AGENTS.md` with instructions to build FastAPI apps, use type hints and Pydantic, install dependencies with `uv`, run Python commands through `uv run python`, and test locally before finishing.
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Run the example from the repository root:
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```bash
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uv run python examples/sandbox/tutorials/sandbox_resume/main.py
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```
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This demo exits after the scripted resume flow so the serialized session state and resume step stay easy to follow.
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You can override the model or prompt:
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```bash
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uv run python examples/sandbox/tutorials/sandbox_resume/main.py --model gpt-5.6-sol --question "Build a FastAPI service that exposes a warehouse robot's maintenance status."
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```
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To run the same flow in Docker, build the shared tutorial image once and pass
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`--docker`:
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```bash
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docker build --tag sandbox-tutorials:latest examples/sandbox/tutorials
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uv run python examples/sandbox/tutorials/sandbox_resume/main.py --docker
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```
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