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README.md

@upstash/box

TypeScript SDK for Upstash Box — create sandboxed AI coding agents with streaming, structured output, file I/O, git operations, and snapshots.

Installation

npm install @upstash/box

Quick start

import { Box, Agent } from "@upstash/box";

const box = await Box.create({
  runtime: "node",
  agent: { harness: Agent.ClaudeCode, model: "anthropic/claude-sonnet-4-5" },
});

const run = await box.agent.run({
  prompt: "Create a hello world Express server",
});

console.log(run.result);
await box.delete();

Authentication

Pass apiKey in the config or set the UPSTASH_BOX_API_KEY environment variable.

API

Static methods

Box.create(config: BoxConfig): Promise<Box>

Create a new sandboxed box.

import { Box, Agent, BoxApiKey } from "@upstash/box";

const box = await Box.create({
  apiKey: "box_...", // or set UPSTASH_BOX_API_KEY
  runtime: "node", // "node" | "python" | "golang" | "ruby" | "rust"
  keepAlive: true,
  initCommand: "npm install && npm run dev",
  agent: {
    harness: Agent.ClaudeCode,
    model: "anthropic/claude-sonnet-4-5",
    apiKey: BoxApiKey.UpstashKey, // Upstash-managed key
    // apiKey: BoxApiKey.StoredKey,     // use a key stored via the Upstash console
    // apiKey: process.env.CLAUDE_KEY!, // or pass a direct API key
  },
  // Optional git identity configured in the container on create
  // Defaults: "Upstash Box" / "box@upstash.com"
  git: {
    token: process.env.GITHUB_TOKEN!,
    userName: "John Doe",
    userEmail: "john@example.com",
  },
  env: { NODE_ENV: "production" },
  timeout: 600000,
  debug: false,
});

Box.get(boxId: string, options?: BoxGetOptions): Promise<Box>

Reconnect to an existing box by ID.

const box = await Box.get("box_abc123");

Box.getByName(name: string, options?: BoxGetOptions): Promise<Box>

Get an existing box by name.

const box = await Box.getByName("my-box");

Box.list(options?: ListOptions): Promise<BoxData[]>

List all boxes for the authenticated user.

const boxes = await Box.list();

Box.fromSnapshot(snapshotId: string, config: BoxConfig): Promise<Box>

Create a new box from a saved snapshot.

const box = await Box.fromSnapshot("snap_abc123", {
  agent: { harness: Agent.ClaudeCode, model: "anthropic/claude-sonnet-4-5" },
  keepAlive: true,
  initCommand: "npm install && npm run dev",
});

SSH

You can also connect directly to a box shell:

ssh <box-id>@us-east-1.box.upstash.com

Use your Box API key as the SSH password.

Agent

box.agent.run(options: RunOptions): Promise<Run>

Run the AI agent with a prompt. Supports streaming, structured output with Zod schemas, timeouts, retries, tool use callbacks, and webhooks.

// Structured output
import { z } from "zod";

const schema = z.object({
  name: z.string(),
  score: z.number(),
});

const run = await box.agent.run({
  prompt: "Analyze this candidate",
  responseSchema: schema,
});
const result = run.result; // typed as { name: string, score: number }

const stream = await box.agent.stream({
  prompt: "Refactor the auth flow",
});
for await (const part of stream) {
  if (part.type === "text-delta") process.stdout.write(part.text);
  if (part.type === "tool-call") console.log(part.toolName, part.input);
  if (part.type === "finish") console.log(part.usage.inputTokens + part.usage.outputTokens);
}

box.exec.command(command: string): Promise<Run>

Execute a shell command in the box.

const run = await box.exec.command("node index.js");
console.log(run.result);

Files

await box.files.write({ path: "hello.txt", content: "Hello!" });
const content = await box.files.read("hello.txt");
const entries = await box.files.list(".");
await box.files.upload([{ path: "./local.txt", destination: "remote.txt" }]);
await box.files.download({ folder: "output/" });

Git

await box.git.clone({ repo: "https://github.com/user/repo", branch: "main" });
const diff = await box.git.diff();
const status = await box.git.status();
await box.git.commit({
  message: "feat: add feature",
  authorName: "Jane Doe",
  authorEmail: "jane@example.com",
});

const gitConfig = await box.git.updateConfig({
  userName: "John Doe",
  userEmail: "john@example.com",
});
console.log(gitConfig.git_user_name, gitConfig.git_user_email);

await box.git.push({ branch: "main" });
const pr = await box.git.createPR({ title: "New feature", body: "Description" });

// Run an arbitrary git command
const result = await box.git.exec({ args: ["log", "--oneline", "-5"] });
console.log(result.output);

// Switch branches
await box.git.checkout({ branch: "feature-branch" });

Schedules

Create recurring tasks that run on a cron schedule — either shell commands (exec) or AI agent prompts (agent). Schedules can be paused, resumed, and deleted. Available on both Box and EphemeralBox.

// Schedule a shell command to run every minute
const execSchedule = await box.schedule.exec({
  cron: "* * * * *",
  command: ["bash", "-c", "date >> /workspace/home/cron.log && echo scheduled-ok"],
});

// Schedule an agent prompt to run daily at 9am
const agentSchedule = await box.schedule.agent({
  cron: "0 9 * * *",
  prompt: "Run the test suite and fix any failures",
  timeout: 300_000, // 5 minute timeout per run
  options: { maxBudgetUsd: 1.0, effort: "high" }, // agent options (provider-specific)
});

// List all active and paused schedules.
const schedules = await box.schedule.list();

// Get a specific schedule by ID.
const schedule = await box.schedule.get("sched-abc123");

// Pause a schedule. It won't fire until resumed.
await box.schedule.pause(schedule.id);

// Resume a paused schedule.
await box.schedule.resume(schedule.id);

// Delete a schedule permanently.
await box.schedule.delete(schedule.id);

Working directory

box.cwd; // "/workspace/home" (default)

await box.cd("my-project");
box.cwd; // "/workspace/home/my-project"

// All operations now run relative to my-project/
const run = await box.exec.command("ls");
const files = await box.files.list();
const status = await box.git.status();

await box.cd(".."); // back to /workspace/home

Model configuration

// Read the current provider and model
const { harness, model } = box.modelConfig;

// Change the model
await box.configureModel("anthropic/claude-opus-4-5");

// modelConfig reflects the change immediately
box.modelConfig.model; // "anthropic/claude-opus-4-5"

Lifecycle

await box.pause(); // Pause (preserves state)
await box.resume(); // Resume
await box.delete(); // Permanent delete
const { status } = await box.getStatus();

Keep-alive boxes also support init-command management:

const script = await box.getInitCommand();
await box.setInitCommand("npm run dev");
await box.deleteInitCommand();
box.keepAlive; // boolean

Snapshots

const snapshot = await box.snapshot({ name: "checkpoint-1" });
const snapshots = await box.listSnapshots();
await box.deleteSnapshot(snapshot.id);

Run object

Every agent.run() and exec.command() call returns a Run object. Streaming methods (agent.stream(), exec.stream()) return a StreamRun which extends Run and is async-iterable.

const run = await box.agent.run({ prompt: "..." });

run.id; // Run ID
run.result; // Final output (typed if schema provided)
run.status; // "running" | "completed" | "failed" | "cancelled" | "detached"
run.cost; // { inputTokens, outputTokens, computeMs, totalUsd }
await run.cancel(); // Abort
await run.logs(); // Filtered log entries

// Streaming returns a StreamRun — async-iterable with typed Chunk objects
const stream = await box.agent.stream({ prompt: "..." });
for await (const chunk of stream) {
  if (chunk.type === "text-delta") process.stdout.write(chunk.text);
}
stream.status; // "completed" after iteration finishes
stream.result; // final output

Agents

The preferred field in agent config is harness, and it is required. Deprecated aliases provider and runner still work for backward compatibility.

Enum Value
Agent.ClaudeCode claude-code
Agent.Codex codex
Agent.OpenCode opencode

Models

Claude Code

Enum Value
ClaudeCode.Opus_4_7 anthropic/claude-opus-4-7
ClaudeCode.Opus_4_5 anthropic/claude-opus-4-5
ClaudeCode.Opus_4_6 anthropic/claude-opus-4-6
ClaudeCode.Sonnet_4 anthropic/claude-sonnet-4
ClaudeCode.Sonnet_4_5 anthropic/claude-sonnet-4-5
ClaudeCode.Sonnet_4_6 anthropic/claude-sonnet-4-6
ClaudeCode.Haiku_4_5 anthropic/claude-haiku-4-5

OpenAI Codex

Enum Value
OpenAICodex.GPT_5_4 openai/gpt-5.4
OpenAICodex.GPT_5_4_Mini openai/gpt-5.4-mini
OpenAICodex.GPT_5_3_Codex openai/gpt-5.3-codex
OpenAICodex.GPT_5_3_Codex_Spark openai/gpt-5.3-codex-spark
OpenAICodex.GPT_5_2_Codex openai/gpt-5.2-codex
OpenAICodex.GPT_5_1_Codex_Max openai/gpt-5.1-codex-max

OpenRouter

Enum Value
OpenRouterModel.Claude_Opus_4_5 openrouter/anthropic/claude-opus-4-5
OpenRouterModel.Claude_Sonnet_4 openrouter/anthropic/claude-sonnet-4
OpenRouterModel.Claude_Haiku_4_5 openrouter/anthropic/claude-haiku-4-5
OpenRouterModel.DeepSeek_R1 openrouter/deepseek/deepseek-r1
OpenRouterModel.Gemini_2_5_Pro openrouter/google/gemini-2.5-pro
OpenRouterModel.Gemini_2_5_Flash openrouter/google/gemini-2.5-flash
OpenRouterModel.GPT_4_1 openrouter/openai/gpt-4.1
OpenRouterModel.O3 openrouter/openai/o3
OpenRouterModel.O4_Mini openrouter/openai/o4-mini

Box Sizes

Boxes have configurable resource sizes, set at creation time via the size option. Defaults to "small".

Size CPU Memory
small 2 cores 2 GB
medium 4 cores 8 GB
large 8 cores 16 GB 
const box = await Box.create({
  size: "large",
  agent: { harness: Agent.ClaudeCode, model: "anthropic/claude-sonnet-4-5" },
});

console.log(box.size); // "large"

Also supported in Box.fromSnapshot():

const box = await Box.fromSnapshot("snap_abc123", { size: "medium" });

Runtimes

Runtime is a string union type: "node" | "python" | "golang" | "ruby" | "rust"

Examples

See the examples/ directory for complete working examples:

  • basic.ts — Create a box, run an agent, read output
  • streaming.ts — Parallel boxes with structured output (Zod)
  • file-upload.ts — Upload local files into the box
  • git-pr.ts — Clone a repo, make changes, create a PR
  • snapshot-restore.ts — Save and restore workspace state
  • webhook.ts — Fire-and-forget with webhook callbacks
  • multi-runtime.ts — Run across different runtimes
  • mcp-skills.ts — Attach MCP servers to a box

License

MIT