chore: import upstream snapshot with attribution

2026-07-13 12:39:17 +08:00
commit 4ed4e9ff99
1368 changed files with 334957 additions and 0 deletions
@@ -0,0 +1,32 @@
+# Sandbox resume
+
+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
+steps: first it builds the app and smoke tests it, then it serializes the
+sandbox session state, resumes the sandbox, and adds pytest coverage.
+
+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
+one instruction file:
+
+- `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.
+
+Run the example from the repository root:
+
+```bash
+uv run python examples/sandbox/tutorials/sandbox_resume/main.py
+```
+
+This demo exits after the scripted resume flow so the serialized session state and resume step stay easy to follow.
+
+You can override the model or prompt:
+
+```bash
+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."
+```
+
+To run the same flow in Docker, build the shared tutorial image once and pass
+`--docker`:
+
+```bash
+docker build --tag sandbox-tutorials:latest examples/sandbox/tutorials
+uv run python examples/sandbox/tutorials/sandbox_resume/main.py --docker
+```