使用 Code Interpreter Sandbox

from e2b_code_interpreter import Sandbox

ALIYUN_UID = "your aliyunUid"
BAILIAN_API_KEY = "sk-..."
BASE_URL = "https://{workspace_id}.cn-beijing.maas.aliyuncs.com/api/v1/agentstudio/sandbox"

sandbox = Sandbox.create(
    api_url=BASE_URL,
    api_key=f"e2b_{ALIYUN_UID}",
    headers={"Authorization": f"Bearer {BAILIAN_API_KEY}"},
    template="你的模版 code",
)

try:
    execution = sandbox.run_code(
        """
import json

data = [
    {"segment": "enterprise", "revenue": 2600},
    {"segment": "startup", "revenue": 680},
]

total = sum(row["revenue"] for row in data)
top_segment = max(data, key=lambda row: row["revenue"])

print(json.dumps({
    "total_revenue": total,
    "top_segment": top_segment["segment"],
    "top_segment_revenue": top_segment["revenue"],
}, ensure_ascii=False))
"""
    )
    print("".join(execution.logs.stdout or []))
finally:
    sandbox.kill()

import { Sandbox } from "e2b";

const ALIYUN_UID = "your aliyunUid";
const BAILIAN_API_KEY = "sk-...";
const BASE_URL = "https://{workspace_id}.cn-beijing.maas.aliyuncs.com/api/v1/agentstudio/sandbox";

const sandbox = await Sandbox.create("你的模版 code", {
  apiUrl: BASE_URL,
  apiKey: `e2b_${ALIYUN_UID}`,
  apiHeaders: { Authorization: `Bearer ${BAILIAN_API_KEY}` },
  envs: { TASK_TYPE: "data-analysis" },
});

try {
  await sandbox.files.makeDir("/tmp/data-analysis");
  await sandbox.files.write(
    "/tmp/data-analysis/revenue.csv",
    `date,segment,revenue
2026-07-01,enterprise,1200
2026-07-01,startup,320
2026-07-02,enterprise,1400
2026-07-02,startup,360
`,
  );
  await sandbox.files.write(
    "/tmp/data-analysis/analyze.py",
    `import csv
import json
from collections import defaultdict

revenue_by_segment = defaultdict(int)
with open("revenue.csv", newline="") as f:
    for row in csv.DictReader(f):
        revenue_by_segment[row["segment"]] += int(row["revenue"])

total = sum(revenue_by_segment.values())
top_segment, top_revenue = max(revenue_by_segment.items(), key=lambda item: item[1])

print(json.dumps({
    "total_revenue": total,
    "top_segment": top_segment,
    "top_segment_revenue": top_revenue,
    "summary": f"{top_segment} contributes {round(top_revenue / total * 100, 1)}% of revenue."
}, ensure_ascii=False))
`,
  );

  const result = await sandbox.commands.run("python3 analyze.py", {
    cwd: "/tmp/data-analysis",
    timeoutMs: 30_000,
  });
  if (result.exitCode !== 0) {
    throw new Error(result.stderr || result.stdout);
  }

  console.log(JSON.parse(result.stdout));
} finally {
  await sandbox.kill();
}