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Document resource limits for MontySandboxProvider

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Jeremiah Lowin 2026-02-27 21:25:40 -05:00
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docs/servers/transforms/code-mode.mdx
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@ -138,6 +138,30 @@ mcp = FastMCP(
)
```
### Resource Limits
The default `MontySandboxProvider` can enforce execution limits on sandboxed code — timeouts, memory caps, recursion depth, and more. Without limits, LLM-generated scripts can run indefinitely.
```python
from fastmcp.experimental.transforms import CodeMode, MontySandboxProvider
mcp.add_transform(CodeMode(
sandbox_provider=MontySandboxProvider(
limits={"max_duration_secs": 10, "max_memory": 50_000_000},
),
))
```
All keys are optional — omit any to leave that dimension uncapped:
| Key | Type | Description |
|---|---|---|
| `max_duration_secs` | `float` | Maximum wall-clock execution time |
| `max_memory` | `int` | Memory ceiling in bytes |
| `max_allocations` | `int` | Cap on total object allocations |
| `max_recursion_depth` | `int` | Maximum recursion depth |
| `gc_interval` | `int` | Garbage collection frequency |
### Custom Sandbox Providers
The default `MontySandboxProvider` uses [pydantic-monty](https://github.com/pydantic/pydantic-monty) for sandboxed execution. You can replace it with any object implementing the `SandboxProvider` protocol: