chore: import upstream snapshot with attribution

2026-07-13 13:39:25 +08:00
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+# AgentWithCodeAct_Step01_Interpreter
+
+A minimal CodeAct sample. The agent uses `HyperlightCodeActProvider` as a
+sandboxed Python interpreter: when the user asks something quantitative, the
+model writes Python and invokes the `execute_code` tool rather than answering
+from memory.
+
+## Configuration
+
+| Variable                       | Description                                                                               |
+|--------------------------------|-------------------------------------------------------------------------------------------|
+| `AZURE_OPENAI_ENDPOINT`        | Azure OpenAI endpoint. Required.                                                          |
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI deployment. Defaults to `gpt-5.4-mini`.                                      |
+| `HYPERLIGHT_PYTHON_GUEST_PATH` | Absolute path to the Hyperlight Python guest module (`.wasm` or `.aot` file). Required.   |
+
+Authentication uses `DefaultAzureCredential`.
+
+## Getting the guest module
+
+The Python guest module is built from the
+[hyperlight-dev/hyperlight-sandbox](https://github.com/hyperlight-dev/hyperlight-sandbox)
+repository — see its README for the exact `cargo`/`just` invocations and
+the location of the resulting `.wasm` / `.aot` file. Set
+`HYPERLIGHT_PYTHON_GUEST_PATH` to the absolute path of that artifact
+before running the sample.
+
+Hyperlight requires a hardware virtualization back end on the host:
+KVM on Linux or WHP (Windows Hypervisor Platform) on Windows.
+
+## Run
+
+```shell
+cd AgentWithCodeAct_Step01_Interpreter
+dotnet run
+```