OpenAI Agents SDK

python -m pip install "openai-agents" "nullspace-sdk==0.1.9"
export OPENAI_API_KEY=sk-...
export NULLSPACE_API_KEY=ns_live_...
export NULLSPACE_API_URL=https://api.your-nullspace-domain

import asyncio

from agents import Agent, Runner, function_tool
from nullspace import Sandbox


@function_tool
def run_in_nullspace(command: str) -> str:
    """Run a short shell command in an isolated Nullspace sandbox."""
    with Sandbox.create(template="base", timeout=300) as sandbox:
        result = sandbox.commands.run(command, shell=True, timeout=120)
        return result.stdout[-4000:] or result.stderr[-4000:]


agent = Agent(
    name="Sandbox Operator",
    instructions="Use the sandbox tool for commands that need isolated execution.",
    tools=[run_in_nullspace],
)


async def main() -> None:
    result = await Runner.run(agent, "Use a sandbox to print Python's platform.")
    print(result.final_output)


asyncio.run(main())

name = "openai-agents-job"
mode = "job"
template = "base"
workdir = "/workspace/project"
install = "python -m pip install -e ."
entrypoint = "python main.py"

[env]
required = ["OPENAI_API_KEY"]

[outputs]
paths = ["result.json", "reports"]

nullspace agent deploy .
nullspace agent run openai-agents-job \
  --input-json '{"task":"summarize the deployment plan"}' \
  --env OPENAI_API_KEY="$OPENAI_API_KEY" \
  --json

name = "openai-agents-service"
mode = "service"
template = "base"
workdir = "/workspace/project"
install = "python -m pip install -e ."
entrypoint = "python -m uvicorn app:app --host 0.0.0.0 --port 8000"

[service]
port = 8000
readiness = { type = "http", path = "/health", timeout_seconds = 30 }

[permissions]
public_url = true