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TypeScript client for async and parallel AI coding agents","maintainers":[{"name":"mdogan","email":"mehmet@upstash.com"},{"name":"buggyhunter","email":"bill@upstash.com"},{"name":"cahidarda","email":"cahidardaooz@gmail.com"},{"name":"fahreddin.ozcan","email":"fahreddin@upstash.com"},{"name":"upstashnpm","email":"enes@upstash.com"},{"name":"joshtc","email":"hello@joshtriedcoding.com"},{"name":"burak-ups","email":"burak@upstash.com"},{"name":"shannonr","email":"shannon@upstash.com"}],"readme":"# @upstash/box\n\nTypeScript SDK for [Upstash Box](https://upstash.com/docs/box) — create sandboxed AI coding agents with streaming, structured output, file I/O, git operations, and snapshots.\n\n## Installation\n\n```bash\nnpm install @upstash/box\n```\n\n## Quick start\n\n```ts\nimport { Box, Agent } from \"@upstash/box\";\n\nconst box = await Box.create({\n  runtime: \"node\",\n  agent: { harness: Agent.ClaudeCode, model: \"anthropic/claude-sonnet-5\" },\n});\n\nconst run = await box.agent.run({\n  prompt: \"Create a hello world Express server\",\n});\n\nconsole.log(run.result);\nawait box.delete();\n```\n\n## Authentication\n\nPass `apiKey` in the config or set the `UPSTASH_BOX_API_KEY` environment variable.\n\n## API\n\n### Static methods\n\n#### `Box.create(config: BoxConfig): Promise<Box>`\n\nCreate a new sandboxed box.\n\n```ts\nimport { Box, Agent, BoxApiKey } from \"@upstash/box\";\n\nconst box = await Box.create({\n  apiKey: \"box_...\", // or set UPSTASH_BOX_API_KEY\n  runtime: \"node\", // \"node\" | \"python\" | \"golang\" | \"ruby\" | \"rust\"\n  labels: [\"beta\", \"x-team\"], // tag the box for organization/filtering\n  keepAlive: true,\n  initCommand: \"npm install && npm run dev\",\n  agent: {\n    harness: Agent.ClaudeCode,\n    model: \"anthropic/claude-sonnet-5\",\n    apiKey: BoxApiKey.UpstashKey, // Upstash-managed key\n    // apiKey: BoxApiKey.StoredKey,     // use a key stored via the Upstash console\n    // apiKey: process.env.CLAUDE_KEY!, // or pass a direct API key\n  },\n  // Optional git identity configured in the container on create\n  // Defaults: \"Upstash Box\" / \"box@upstash.com\"\n  git: {\n    token: process.env.GITHUB_TOKEN!,\n    userName: \"John Doe\",\n    userEmail: \"john@example.com\",\n  },\n  env: { NODE_ENV: \"production\" },\n  timeout: 600000,\n  debug: false,\n});\n```\n\n#### `Box.get(boxId: string, options?: BoxGetOptions): Promise<Box>`\n\nReconnect to an existing box by ID.\n\n```ts\nconst box = await Box.get(\"box_abc123\");\n```\n\n#### `Box.getByName(name: string, options?: BoxGetOptions): Promise<Box>`\n\nGet an existing box by name.\n\n```ts\nconst box = await Box.getByName(\"my-box\");\n```\n\n#### `Box.list(options?: ListOptions): Promise<BoxData[]>`\n\nList all boxes for the authenticated user. Pass `label` to return only boxes carrying that label.\n\n```ts\nconst boxes = await Box.list();\nconst betaBoxes = await Box.list({ label: \"beta\" });\n```\n\n#### `Box.fromSnapshot(snapshotId: string, config: BoxConfig): Promise<Box>`\n\nCreate a new box from a saved snapshot.\n\n```ts\nconst box = await Box.fromSnapshot(\"snap_abc123\", {\n  agent: { harness: Agent.ClaudeCode, model: \"anthropic/claude-sonnet-5\" },\n  keepAlive: true,\n  initCommand: \"npm install && npm run dev\",\n});\n```\n\n### SSH\n\nYou can also connect directly to a box shell:\n\n```bash\nssh <box-id>@us-east-1.box.upstash.com\n```\n\nUse your **Box API key** as the SSH password.\n\n### Agent\n\n#### `box.agent.run(options: RunOptions): Promise<Run>`\n\nRun the AI agent with a prompt. Supports streaming, structured output with Zod schemas, timeouts, retries, tool use callbacks, and webhooks.\n\n```ts\n// Structured output\nimport { z } from \"zod\";\n\nconst schema = z.object({\n  name: z.string(),\n  score: z.number(),\n});\n\nconst run = await box.agent.run({\n  prompt: \"Analyze this candidate\",\n  responseSchema: schema,\n});\nconst result = run.result; // typed as { name: string, score: number }\n\nconst stream = await box.agent.stream({\n  prompt: \"Refactor the auth flow\",\n});\nfor await (const part of stream) {\n  if (part.type === \"text-delta\") process.stdout.write(part.text);\n  if (part.type === \"tool-call\") console.log(part.toolName, part.input);\n  if (part.type === \"finish\") console.log(part.usage.inputTokens + part.usage.outputTokens);\n}\n```\n\n#### `box.exec.command(command: string): Promise<Run>`\n\nExecute a shell command in the box.\n\n```ts\nconst run = await box.exec.command(\"node index.js\");\nconsole.log(run.result);\n```\n\n#### `box.exec.session(options): Promise<ExecSessionHandle>`\n\nStart a live command session. `exec.command` resolves once the command has\nfinished; `session` resolves as soon as it starts, so you can write to stdin,\nresize a PTY, and signal the process while it runs.\n\nThis one is Node-only. Authentication travels in a request header, and browsers\ncannot set headers on a WebSocket handshake.\n\n```ts\nlet out = \"\";\nconst session = await box.exec.session({\n  argv: [\"sort\"], // exact program + args, no shell\n  onStdout: (b) => (out += Buffer.from(b).toString()),\n});\nsession.write(\"banana\\napple\\n\");\nsession.endStdin(); // EOF, so sort finishes\nawait session.wait(); // 0\n```\n\nPass `cmd` instead of `argv` to run through `bash -lc`, `tty: true` (with\n`rows` / `cols`) to allocate a PTY sized correctly from the first read, and\n`cwd` / `env` to place the process. `env` entries are `KEY=VALUE` strings\noverlaid on the box environment.\n\nThe handle exposes `pid` and `execId`, plus `write`, `endStdin`, `resize`,\n`kill(signal)`, `terminate(graceMs)`, `wait`, and `close`. It owns the process:\n`close()`, a dropped connection, or exiting your program all terminate the\ncommand rather than leaving it running in the box, and sessions cannot be\nreattached.\n\n```ts\nconst dev = await box.exec.session({ cmd: \"npm run dev\", tty: true, rows: 24, cols: 80 });\ndev.write(\"rs\\n\"); // restart\ndev.resize(50, 120);\ndev.terminate(2000); // SIGTERM, then SIGKILL after 2s\n```\n\n### Files\n\n```ts\nawait box.files.write({ path: \"hello.txt\", content: \"Hello!\" });\nconst content = await box.files.read(\"hello.txt\");\nconst entries = await box.files.list(\".\");\nawait box.files.upload([{ path: \"./local.txt\", destination: \"remote.txt\" }]);\nawait box.files.download({ folder: \"output/\" });\n```\n\n### Git\n\n```ts\nawait box.git.clone({ repo: \"https://github.com/user/repo\", branch: \"main\" });\nawait box.git.clone({ repo: \"https://github.com/user/repo\", depth: 1 }); // shallow clone\nconst diff = await box.git.diff();\nconst status = await box.git.status();\nawait box.git.commit({\n  message: \"feat: add feature\",\n  authorName: \"Jane Doe\",\n  authorEmail: \"jane@example.com\",\n});\n\nconst gitConfig = await box.git.updateConfig({\n  userName: \"John Doe\",\n  userEmail: \"john@example.com\",\n});\nconsole.log(gitConfig.git_user_name, gitConfig.git_user_email);\n\nawait box.git.push({ branch: \"main\" });\nconst pr = await box.git.createPR({ title: \"New feature\", body: \"Description\" });\n\n// Run an arbitrary git command\nconst result = await box.git.exec({ args: [\"log\", \"--oneline\", \"-5\"] });\nconsole.log(result.output);\n\n// Switch branches\nawait box.git.checkout({ branch: \"feature-branch\" });\n```\n\n### Schedules\n\nCreate 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`.\n\n```ts\n// Schedule a shell command to run every minute\nconst execSchedule = await box.schedule.exec({\n  cron: \"* * * * *\",\n  command: [\"bash\", \"-c\", \"date >> /workspace/home/cron.log && echo scheduled-ok\"],\n});\n\n// Schedule an agent prompt to run daily at 9am\nconst agentSchedule = await box.schedule.agent({\n  cron: \"0 9 * * *\",\n  prompt: \"Run the test suite and fix any failures\",\n  timeout: 300_000, // 5 minute timeout per run\n  options: { maxBudgetUsd: 1.0, effort: \"high\" }, // agent options (provider-specific)\n});\n\n// List all active and paused schedules.\nconst schedules = await box.schedule.list();\n\n// Get a specific schedule by ID.\nconst schedule = await box.schedule.get(\"sched-abc123\");\n\n// Update a schedule (partial — omitted fields keep their current value).\n// Empty values (\"\" / [] / {}) clear a field; `options: null` clears agent\n// options. The schedule's type (exec vs agent) cannot be changed.\nconst updated = await box.schedule.update(schedule.id, {\n  cron: \"0 18 * * *\",\n  webhookUrl: \"\", // clears the webhook\n});\n\n// Pause a schedule. It won't fire until resumed.\nawait box.schedule.pause(schedule.id);\n\n// Resume a paused schedule.\nawait box.schedule.resume(schedule.id);\n\n// Delete a schedule permanently.\nawait box.schedule.delete(schedule.id);\n```\n\n### Labels\n\nTag a box for organization and filtering. Labels are set at create time (`labels`) and managed on a running box via the `labels` namespace. Each `add`/`remove` returns the box's updated label set. Filter with `Box.list({ label })`.\n\n```ts\n// Add / remove — returns the updated label set\nconst labels = await box.labels.add(\"prod\"); // [\"beta\", \"x-team\", \"prod\"]\nawait box.labels.remove(\"beta\"); // [\"x-team\", \"prod\"]\n\n// List this box's labels\nconst current = await box.labels.list();\n```\n\n### Working directory\n\n```ts\nbox.cwd; // \"/workspace/home\" (default)\n\nawait box.cd(\"my-project\");\nbox.cwd; // \"/workspace/home/my-project\"\n\n// All operations now run relative to my-project/\nconst run = await box.exec.command(\"ls\");\nconst files = await box.files.list();\nconst status = await box.git.status();\n\nawait box.cd(\"..\"); // back to /workspace/home\n```\n\n### Model configuration\n\n```ts\n// Read the current provider and model\nconst { harness, model } = box.modelConfig;\n\n// Change the model\nawait box.configureModel(\"anthropic/claude-opus-4-8\");\n\n// modelConfig reflects the change immediately\nbox.modelConfig.model; // \"anthropic/claude-opus-4-8\"\n```\n\n### Lifecycle\n\n```ts\nawait box.pause(); // Pause (preserves state)\nawait box.resume(); // Resume\nawait box.delete(); // Permanent delete\nconst { status } = await box.getStatus();\n```\n\nInit commands can be read, set and removed on any box, including a paused one:\n\n```ts\nconst script = await box.getInitCommand();\nawait box.setInitCommand(\"npm run dev\");\nawait box.deleteInitCommand();\nbox.keepAlive; // boolean\n```\n\n### Snapshots\n\n```ts\nconst snapshot = await box.snapshot({ name: \"checkpoint-1\" });\nconst snapshots = await box.listSnapshots();\nawait box.deleteSnapshot(snapshot.id);\n```\n\n### Run object\n\nEvery `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.\n\n```ts\nconst run = await box.agent.run({ prompt: \"...\" });\n\nrun.id; // Run ID\nrun.result; // Final output (typed if schema provided)\nrun.status; // \"running\" | \"completed\" | \"failed\" | \"cancelled\" | \"detached\"\nrun.exitCode; // Process exit code (command/code runs)\nrun.stdout; // Raw stdout (command/code runs)\nrun.stderr; // Raw stderr (command/code runs)\nrun.cost; // { inputTokens, outputTokens, computeMs, totalUsd }\nawait run.cancel(); // Abort\nawait run.logs(); // Filtered log entries\n\n// Streaming returns a StreamRun — async-iterable with typed Chunk objects\nconst stream = await box.agent.stream({ prompt: \"...\" });\nfor await (const chunk of stream) {\n  if (chunk.type === \"text-delta\") process.stdout.write(chunk.text);\n}\nstream.status; // \"completed\" after iteration finishes\nstream.result; // final output\n```\n\n## Agents\n\nThe preferred field in agent config is `harness`, and it is required. Deprecated aliases `provider` and `runner` still work for backward compatibility.\n\n| Enum               | Value         |\n| ------------------ | ------------- |\n| `Agent.ClaudeCode` | `claude-code` |\n| `Agent.Codex`      | `codex`       |\n| `Agent.OpenCode`   | `opencode`    |\n\n## Models\n\n### Claude Code\n\n| Enum                    | Value                         |\n| ----------------------- | ----------------------------- |\n| `ClaudeCode.Fable_5_1`  | `anthropic/claude-fable-5-1`  |\n| `ClaudeCode.Fable_5`    | `anthropic/claude-fable-5`    |\n| `ClaudeCode.Opus_5_5`   | `anthropic/claude-opus-5-5`   |\n| `ClaudeCode.Opus_5`     | `anthropic/claude-opus-5`     |\n| `ClaudeCode.Opus_4_8`   | `anthropic/claude-opus-4-8`   |\n| `ClaudeCode.Opus_4_7`   | `anthropic/claude-opus-4-7`   |\n| `ClaudeCode.Opus_4_5`   | `anthropic/claude-opus-4-5`   |\n| `ClaudeCode.Opus_4_6`   | `anthropic/claude-opus-4-6`   |\n| `ClaudeCode.Sonnet_4`   | `anthropic/claude-sonnet-4`   |\n| `ClaudeCode.Sonnet_4_5` | `anthropic/claude-sonnet-4-5` |\n| `ClaudeCode.Sonnet_4_6` | `anthropic/claude-sonnet-4-6` |\n| `ClaudeCode.Sonnet_5`   | `anthropic/claude-sonnet-5`   |\n| `ClaudeCode.Haiku_4_5`  | `anthropic/claude-haiku-4-5`  |\n\n### OpenAI Codex\n\n| Enum                              | Value                          |\n| --------------------------------- | ------------------------------ |\n| `OpenAICodex.GPT_6_Astra`         | `openai/gpt-6-astra`           |\n| `OpenAICodex.GPT_6_Sol`           | `openai/gpt-6-sol`             |\n| `OpenAICodex.GPT_6_Luna`          | `openai/gpt-6-luna`            |\n| `OpenAICodex.GPT_5_6`             | `openai/gpt-5.6` (alias → Sol) |\n| `OpenAICodex.GPT_5_6_Sol`         | `openai/gpt-5.6-sol`           |\n| `OpenAICodex.GPT_5_6_Terra`       | `openai/gpt-5.6-terra`         |\n| `OpenAICodex.GPT_5_6_Luna`        | `openai/gpt-5.6-luna`          |\n| `OpenAICodex.GPT_5_5`             | `openai/gpt-5.5`               |\n| `OpenAICodex.GPT_5_4`             | `openai/gpt-5.4`               |\n| `OpenAICodex.GPT_5_4_Mini`        | `openai/gpt-5.4-mini`          |\n| `OpenAICodex.GPT_5_3_Codex`       | `openai/gpt-5.3-codex`         |\n| `OpenAICodex.GPT_5_3_Codex_Spark` | `openai/gpt-5.3-codex-spark`   |\n| `OpenAICodex.GPT_5_2_Codex`       | `openai/gpt-5.2-codex`         |\n| `OpenAICodex.GPT_5_1_Codex_Max`   | `openai/gpt-5.1-codex-max`     |\n\n### OpenRouter\n\n| Enum                               | Value                                   |\n| ---------------------------------- | --------------------------------------- |\n| `OpenRouterModel.Claude_Fable_5_1` | `openrouter/anthropic/claude-fable-5.1` |\n| `OpenRouterModel.Claude_Fable_5`   | `openrouter/anthropic/claude-fable-5`   |\n| `OpenRouterModel.Claude_Opus_5_5`  | `openrouter/anthropic/claude-opus-5.5`  |\n| `OpenRouterModel.Claude_Opus_5`    | `openrouter/anthropic/claude-opus-5`    |\n| `OpenRouterModel.Claude_Sonnet_5`  | `openrouter/anthropic/claude-sonnet-5`  |\n| `OpenRouterModel.Claude_Opus_4_5`  | `openrouter/anthropic/claude-opus-4-5`  |\n| `OpenRouterModel.Claude_Sonnet_4`  | `openrouter/anthropic/claude-sonnet-4`  |\n| `OpenRouterModel.Claude_Haiku_4_5` | `openrouter/anthropic/claude-haiku-4-5` |\n| `OpenRouterModel.DeepSeek_R1`      | `openrouter/deepseek/deepseek-r1`       |\n| `OpenRouterModel.Gemini_2_5_Pro`   | `openrouter/google/gemini-2.5-pro`      |\n| `OpenRouterModel.Gemini_2_5_Flash` | `openrouter/google/gemini-2.5-flash`    |\n| `OpenRouterModel.GPT_5_6_Sol`      | `openrouter/openai/gpt-5.6-sol`         |\n| `OpenRouterModel.GPT_5_6_Terra`    | `openrouter/openai/gpt-5.6-terra`       |\n| `OpenRouterModel.GPT_5_6_Luna`     | `openrouter/openai/gpt-5.6-luna`        |\n| `OpenRouterModel.GPT_4_1`          | `openrouter/openai/gpt-4.1`             |\n| `OpenRouterModel.O3`               | `openrouter/openai/o3`                  |\n| `OpenRouterModel.O4_Mini`          | `openrouter/openai/o4-mini`             |\n\n## Box Sizes\n\nBoxes have configurable resource sizes, set at creation time via the `size` option. Defaults to `\"small\"`.\n\n| Size     | CPU     | Memory |\n| -------- | ------- | ------ |\n| `small`  | 2 cores | 4 GB   |\n| `medium` | 4 cores | 8 GB   |\n| `large`  | 8 cores | 16 GB  |\n\n```ts\nconst box = await Box.create({\n  size: \"large\",\n  agent: { harness: Agent.ClaudeCode, model: \"anthropic/claude-sonnet-5\" },\n});\n\nconsole.log(box.size); // \"large\"\n```\n\nAlso supported in `Box.fromSnapshot()`:\n\n```ts\nconst box = await Box.fromSnapshot(\"snap_abc123\", { size: \"medium\" });\n```\n\n## Runtimes\n\n`Runtime` is a string union type: `\"node\" | \"python\" | \"golang\" | \"ruby\" | \"rust\"`, plus their Alpine variants: `\"node-alpine\" | \"python-alpine\" | \"golang-alpine\" | \"ruby-alpine\" | \"rust-alpine\"`\n\n## Examples\n\nSee the [`examples/`](./examples) directory for complete working examples:\n\n- `basic.ts` — Create a box, run an agent, read output\n- `streaming.ts` — Parallel boxes with structured output (Zod)\n- `file-upload.ts` — Upload local files into the box\n- `git-pr.ts` — Clone a repo, make changes, create a PR\n- `snapshot-restore.ts` — Save and restore workspace state\n- `webhook.ts` — Fire-and-forget with webhook callbacks\n- `multi-runtime.ts` — Run across different runtimes\n- `mcp-skills.ts` — Attach MCP servers to a box\n\n## Telemetry\n\nThe SDK sends anonymous usage telemetry with every API request, following the\nsame convention as the other Upstash SDKs: three HTTP headers reporting the SDK\nversion (`Upstash-Telemetry-Sdk`), the JS runtime (`Upstash-Telemetry-Runtime`,\ne.g. `node@v22.1.0`), and the deployment platform (`Upstash-Telemetry-Platform`,\ne.g. `vercel`). No user data, request payloads, or identifiers are ever\ncollected.\n\nTo opt out, set the `UPSTASH_DISABLE_TELEMETRY` environment variable to any\nvalue, or pass `enableTelemetry: false` in the client config (e.g.\n`Box.create({ enableTelemetry: false })`). On runtimes without `process.env`\n(such as Cloudflare Workers) the config option is the only way to opt out; the\nenv var takes precedence where both are available.\n\n## License\n\nMIT\n","readmeFilename":""}