Configure your agent

import {
  Evolve,
  managedSandbox,
} from "@evolvingmachines/evolve";

const agent = new Evolve()
  .withAgent({
    type: "codex",
    model: "gpt-6-luna",
    reasoningEffort: "medium",
  })
  .withSandbox(await managedSandbox("e2b"))
  .withContext({
    "reporting.md": "All sales values are in USD. " +
      "Round to two decimals.",
  })
  .withFiles({
    "sales.csv": "region,sales\nNorth,1200\nSouth,950\n",
  })
  .withSkills([
    "./skills/reporting",
  ]);

try {
  await agent.run({
    prompt: [
      "Use the reporting skill to summarize sales.csv.",
      "Follow context/reporting.md.",
      "Write the report to output/report.md.",
    ].join(" "),
  });

  const output = await agent.getOutputFiles();
  console.log(output.files["report.md"]);
} finally {
  await agent.kill();
}

import asyncio

from evolve import AgentConfig, Evolve, ManagedProvider


async def main():
    agent = Evolve(
        config=AgentConfig(
            type="codex",
            model="gpt-6-luna",
            reasoning_effort="medium",
        ),
        sandbox=ManagedProvider(
            provider="e2b",
        ),
        context={
            "reporting.md": (
                "All sales values are in USD. "
                "Round to two decimals."
            ),
        },
        files={
            "sales.csv": (
                "region,sales\n"
                "North,1200\n"
                "South,950\n"
            ),
        },
        skills=[
            "./skills/reporting",
        ],
    )

    try:
        await agent.run(
            prompt=(
                "Use the reporting skill "
                "to summarize sales.csv. "
                "Follow context/reporting.md. "
                "Write the report to output/report.md."
            ),
        )

        output = await agent.get_output_files()
        print(output.files["report.md"])
    finally:
        await agent.kill()


asyncio.run(main())

node configure.mjs

python configure.py