Best sandbox for CrewAI in 2026

CrewAI removed its code interpreter and points to sandbox services; the best one wraps with CrewAI's tool and costs little idle.

Runtime gives a crew a Linux microVM per task, or one shared machine for the whole crew, through four typed functions that CrewAI's tool wraps as they are. Each command runs in a Firecracker microVM with its own kernel, where pip install, git and gcc work. Crews spend most of their time with agents talking to each other and the model; Runtime bills that time at its CPU floor of a twentieth of a vCPU per vCPU. Three thousand ten-minute crew runs a month, each busy for 90 CPU-seconds, cost $16.88 on Runtime against $82.80 on E2B and $118.98 on Modal, at rates checked 23 September to 2 October 2026.

What happened to code execution in CrewAI?

CrewAI's CodeInterpreterTool page, read on 1 October 2026, says the tool "has been removed from crewai-tools", that "the allow_code_execution and code_execution_mode parameters on Agent are also deprecated", and to "use a dedicated sandbox service — E2B or Modal — for secure, isolated code execution".

So a crew that runs code now needs a sandbox and a way to call it. CrewAI already turns any typed function into a tool, which is all a sandbox needs.

Which sandbox service should a crew use?

What decides it for a crew:

• One machine or many. Agents in a crew hand work to each other. Give them one sandbox and the researcher's downloaded data is where the analyst reads it; give each its own and a mistake by one never touches another's files.
• No wrapper to maintain. Runtime's functions carry type hints and docstrings, so tool(f) from crewai.tools turns them into CrewAI tools with nothing in between.
• A real environment. An engineer agent fixing tests needs the project's toolchain. The default image already has git 2.43, gcc 13 and Python 3.12, and Docker starts with sudo enable-docker.
• A machine that waits cheaply. Crews idle between steps. A sandbox with nothing happening pauses itself after 60 seconds and wakes on the next tool call.

What does a month of crew runs cost?

Three thousand runs, each ten minutes on a 2 vCPU, 4 GiB sandbox and busy for 90 CPU-seconds, at the published rates of the two services CrewAI names and of Runtime:

A run on Runtime, recorded 2 October 2026

Pythonfrom crewai import Agent, Crew, Taskfrom crewai.tools import toolfrom withruntime import Sandboxfrom withruntime.tools import sandbox_toolswith Sandbox.create() as sbx:    engineer = Agent(        role="Engineer",        goal="Make the test suite pass",        backstory="You work in a Linux sandbox.",        tools=[tool(f) for f in sandbox_tools(sbx)],    )    task = Task(description="Clone the repo, run the tests and fix what fails.", expected_output="A summary", agent=engineer)    print(Crew(agents=[engineer], tasks=[task]).kickoff())

A crew's kickoff needs a real model, so on 2 October 2026 we called the wrapped runtime_exec tool through CrewAI's own tool object, as an agent does, against a live sandbox:

textruntime_exec "git --version && gcc --version | head -1 && python3 --version"  exit_code 0  git version 2.43.0  gcc (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0  Python 3.12.3

Several agents sharing one sandbox, and the safety settings for a crew, are in CrewAI in a sandbox.

When might another sandbox fit better?

• GPU steps. A crew that fine-tunes or serves a model on a GPU fits Modal, one of the two services CrewAI names.

Sources

Checked 1 October 2026.

• CrewAI CodeInterpreterTool: the removal notice, the deprecated Agent parameters and the sandbox services it names
• Each provider's published rates, checked 23 September to 2 October 2026, as the pricing guide lists them
• The recorded run: Runtime's Python SDK with CrewAI's tool from crewai 1.15.23 on Python 3.12, against production on 2 October 2026