CrewAI

pip install "crewai-tools[e2b]" python-dotenv

export E2B_API_KEY="e2b_..."
export OPENAI_API_KEY="..."

import os

from crewai import Agent, Crew, Process, Task
from crewai_tools import E2BPythonTool


python_tool = E2BPythonTool(
    persistent=True,
    sandbox_timeout=600,
)

analyst = Agent(
    role="Data Analyst",
    goal="Use sandboxed Python to produce accurate, reproducible analysis",
    backstory=(
        "You verify every numerical answer by running code in an isolated "
        "E2B sandbox."
    ),
    tools=[python_tool],
    llm=os.getenv("MODEL", "openai/gpt-4.1-mini"),
    allow_delegation=False,
    max_iter=8,
    verbose=True,
)

task = Task(
    description="""
Use the E2B Sandbox Python tool to run Python code. Create `random.Random(23)`,
generate 10,000 integers with `randint(1, 1000)`, and return a JSON object with
their count, mean, population standard deviation, p95, and SHA-256 digest.
Inspect the tool result's `error` field and correct and rerun failed code.
Do not estimate the answer yourself.
""",
    expected_output="A JSON object containing the computed statistics.",
    agent=analyst,
)

crew = Crew(
    agents=[analyst],
    tasks=[task],
    process=Process.sequential,
    verbose=True,
)

try:
    result = crew.kickoff()
    print(result)
finally:
    python_tool.close()

{
  "text": "...",
  "stdout": [],
  "stderr": [],
  "error": null,
  "results": [],
  "execution_count": 1
}