What this sample demonstrates
An Agent Framework agent that
runs Python in a Hyperlight
WebAssembly sandbox via the CodeAct pattern, hosted using the Responses
protocol. The model is only given a single execute_code tool. Local Python
tools (compute, fetch_data) are registered on HyperlightCodeActProvider
and are reachable from inside the sandbox via call_tool(...), never as
direct LLM tools. All of this can be run as a container, however not under all circumstances.
⚠️ Foundry hosted-agent runtime support is in progress. Hyperlight requires a hypervisor (
/dev/kvmon Linux, MSHV on Windows). The default Foundry hosted-agent runtime does not currently expose a hypervisor to the workload container, so deploying this sample as a Foundry hosted agent will fail at runtime withFailed to create sandbox: ... No Hypervisor was found for Sandbox. The sample container itself works end-to-end when run locally withdocker run --device=/dev/kvm ...(see Hypervisor requirement below). We are working with the platform team to enable a hypervisor-capable hosting target.
How It Works
Model integration
The agent uses FoundryChatClient to talk to a Foundry-hosted model deployment.
A HyperlightCodeActProvider is attached as a context provider, which on every
run injects the execute_code tool plus the CodeAct instructions that teach the
model how to author Python that calls call_tool(...) for sandbox-only tools.
See main.py for the full implementation.
Agent hosting
The agent is hosted with ResponsesHostServer from
agent-framework-foundry-hosting, which exposes a REST endpoint compatible with
the OpenAI Responses protocol.
The Hyperlight Wasm backend is currently published only for
linux/x86_64andwin32/AMD64with Python<3.14. The hosted container runspython:3.12-slimon linux/x86_64, which is supported.
Hypervisor requirement
Hyperlight executes guest WebAssembly inside a micro-VM and requires a hypervisor on the host:
- Linux:
/dev/kvmmust be present and the container must have access to it (docker run --device=/dev/kvm ...). - Windows: the Microsoft Hypervisor Platform (MSHV) must be enabled.
Without a hypervisor, sandbox creation fails with:
Failed to create sandbox: failed to build ProtoWasmSandbox: No Hypervisor was found for Sandbox
This affects hosted environments that don't expose /dev/kvm to the workload
container (most managed PaaS, including the default Foundry hosted-agent
runtime). To run this sample as a hosted agent you need a hosting target with
nested virtualization and /dev/kvm device passthrough — for example an Azure
VM, AKS nodes with KVM enabled, or Azure Container Instances configured for
nested virt.
Running the Agent Host
Follow the instructions in the Running the Agent Host Locally section of the README in the Foundry Hosted Agent directory.
Interacting with the agent
Send a POST request to the server with a JSON body containing an "input"
field. The model should respond by calling execute_code with Python that uses
call_tool(...) to reach the sandbox-only tools:
curl -X POST http://localhost:8088/responses \
-H "Content-Type: application/json" \
-d '{"input": "Fetch all users, find the admins, multiply 7 by 6, and print the users, admins and multiplication result. Use execute_code with call_tool(...)."}'
Deploying the Agent to Foundry
Deploying this container to Foundry will not work yet, as soon as it does, we will update this sample.