fastmcp/docs/python-sdk/fastmcp-experimental-transforms-code_mode.mdx

---
title: code_mode
sidebarTitle: code_mode
---

# `fastmcp.experimental.transforms.code_mode`

## Classes

### `SandboxProvider` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L73" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>


Interface for executing LLM-generated Python code in a sandbox.

WARNING: The ``code`` parameter passed to ``run`` contains untrusted,
LLM-generated Python.  Implementations MUST execute it in an isolated
sandbox — never with plain ``exec()``.  Use ``MontySandboxProvider``
(backed by ``pydantic-monty``) for production workloads.


**Methods:**

#### `run` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L82" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
run(self, code: str) -> Any
```

### `MontySandboxProvider` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L91" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>


Sandbox provider backed by `pydantic-monty`.

**Args:**
- `limits`: Resource limits for sandbox execution. Supported keys\:
``max_duration_secs`` (float), ``max_allocations`` (int),
``max_memory`` (int), ``max_recursion_depth`` (int),
``gc_interval`` (int).  All are optional; omit a key to
leave that limit uncapped.


**Methods:**

#### `run` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L109" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
run(self, code: str) -> Any
```

### `Search` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L179" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>


Discovery tool factory that searches the catalog by query.

**Args:**
- `search_fn`: Async callable ``(tools, query) -> matching_tools``.
Defaults to BM25 ranking.
- `name`: Name of the synthetic tool exposed to the LLM.
- `default_detail`: Default detail level for search results.
``"brief"`` returns tool names and descriptions only.
``"detailed"`` returns compact markdown with parameter schemas.
``"full"`` returns complete JSON tool definitions.
- `default_limit`: Maximum number of results to return.
The LLM can override this per call.  ``None`` means no limit.


### `GetSchemas` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L261" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>


Discovery tool factory that returns schemas for tools by name.

**Args:**
- `name`: Name of the synthetic tool exposed to the LLM.
- `default_detail`: Default detail level for schema results.
``"brief"`` returns tool names and descriptions only.
``"detailed"`` renders compact markdown with parameter names,
types, and required markers.
``"full"`` returns the complete JSON schema.


### `GetTags` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L322" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>


Discovery tool factory that lists tool tags from the catalog.

Reads ``tool.tags`` from the catalog and groups tools by tag. Tools
without tags appear under ``"untagged"``.

**Args:**
- `name`: Name of the synthetic tool exposed to the LLM.
- `default_detail`: Default detail level.
``"brief"`` returns tag names with tool counts.
``"full"`` lists all tools under each tag.


### `ListTools` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L389" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>


Discovery tool factory that lists all tools in the catalog.

**Args:**
- `name`: Name of the synthetic tool exposed to the LLM.
- `default_detail`: Default detail level.
``"brief"`` returns tool names and one-line descriptions.
``"detailed"`` returns compact markdown with parameter schemas.
``"full"`` returns the complete JSON schema.


### `CodeMode` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L438" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>


Transform that collapses all tools into discovery + execute meta-tools.

Discovery tools are composable via the ``discovery_tools`` parameter.
Each is a callable that receives catalog access and returns a ``Tool``.
By default, ``Search`` and ``GetSchemas`` are included for
progressive disclosure: search finds candidates, get_schema retrieves
parameter details, and execute runs code.

The ``execute`` tool is always present and provides a sandboxed Python
environment with ``call_tool(name, params)`` in scope.


**Methods:**

#### `transform_tools` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L488" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
transform_tools(self, tools: Sequence[Tool]) -> Sequence[Tool]
```

#### `get_tool` <sup><a href="https://github.com/PrefectHQ/fastmcp/blob/main/src/fastmcp/experimental/transforms/code_mode.py#L491" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>

```python
get_tool(self, name: str, call_next: GetToolNext) -> Tool | None
```