diff --git a/solutions/browsecli-vercel-sandbox/.env.example b/solutions/browsecli-vercel-sandbox/.env.example new file mode 100644 index 0000000000..07171d00aa --- /dev/null +++ b/solutions/browsecli-vercel-sandbox/.env.example @@ -0,0 +1,26 @@ +# --- Browserbase (the cloud browser the agent drives) --- +# Get a key at https://www.browserbase.com/settings +BROWSERBASE_API_KEY=bb_live_xxxxxxxxxxxxxxxxxxxxxxxx + +# --- Vercel Sandbox auth (to create the Firecracker microVM) --- +# Token: https://vercel.com/account/tokens +# Team + Project IDs: Vercel dashboard → Project → Settings +VERCEL_TOKEN=xxxxxxxxxxxxxxxxxxxxxxxxxxxx +VERCEL_TEAM_ID=team_xxxxxxxxxxxxxxxxxxxxxxxx +VERCEL_PROJECT_ID=prj_xxxxxxxxxxxxxxxxxxxxxxxx + +# --- Model auth: Vercel AI Gateway (no separate Anthropic key needed) --- +# The agent's model (anthropic/claude-sonnet-5) is served through Vercel AI +# Gateway, so one Vercel auth covers both the Sandbox and the model. Pick ONE: +# +# 1. OIDC (recommended, keyless): run `vercel link` then `vercel env pull +# .env.local` in this directory. Vercel writes a short-lived +# VERCEL_OIDC_TOKEN to .env.local that the Gateway reads automatically — no +# extra key to manage. (Refresh it with `vercel env pull` when it expires.) +# +# 2. AI Gateway API key: create one at https://vercel.com/dashboard/ai-gateway +# and set it here. Use this if you prefer a long-lived key over OIDC. +# AI_GATEWAY_API_KEY=vck_xxxxxxxxxxxxxxxxxxxxxxxx + +# --- Optional: override the agent's task --- +# TASK=Find the latest Node.js LTS version and its release date from nodejs.org. diff --git a/solutions/browsecli-vercel-sandbox/.gitignore b/solutions/browsecli-vercel-sandbox/.gitignore new file mode 100644 index 0000000000..89f4fb0855 --- /dev/null +++ b/solutions/browsecli-vercel-sandbox/.gitignore @@ -0,0 +1,37 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# Dependencies +/node_modules +/.pnp +.pnp.js + +# Next.js +/.next/ +/out/ +next-env.d.ts + +# Production +build +dist + +# Misc +.DS_Store +*.pem + +# Debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# Local ENV files +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +# Vercel +.vercel + +# typescript +*.tsbuildinfo diff --git a/solutions/browsecli-vercel-sandbox/README.md b/solutions/browsecli-vercel-sandbox/README.md new file mode 100644 index 0000000000..6fc2483894 --- /dev/null +++ b/solutions/browsecli-vercel-sandbox/README.md @@ -0,0 +1,50 @@ +# Browser agent with bash-tool in a Vercel Sandbox + +A [Vercel AI SDK](https://ai-sdk.dev) agent that uses Vercel's [`bash-tool`](https://github.com/vercel-labs/bash-tool) to run the [`browse`](https://www.npmjs.com/package/browse) CLI inside a [Vercel Sandbox](https://vercel.com/docs/vercel-sandbox) — an ephemeral Firecracker microVM. The `browse` CLI drives a real browser running on [Browserbase](https://www.browserbase.com), so the browser itself never runs in the microVM. + +## How it works + +``` +┌──────────────────────────────┐ ┌──────────────────────────────┐ CDP/wss ┌────────────────────────────┐ +│ Host (your machine / CI) │ │ Vercel Sandbox (microVM) │ ──────────▶ │ Browserbase cloud browser │ +│ │ │ node24 │ │ │ +│ ToolLoopAgent (AI SDK) │ ─bash─▶ │ browse CLI runs here │ ◀──────────── │ navigates / reads pages │ +│ reasoning + tool loop │ │ (installed by sandbox.ts) │ page data │ │ +└──────────────────────────────┘ └──────────────────────────────┘ └────────────────────────────┘ +``` + +- The **agent loop runs on the host**. `sandbox.ts` provisions the sandbox, installs the `browse` CLI inside it, builds a `bash` tool with `bash-tool` (`createBashTool({ sandbox })`), and runs a `ToolLoopAgent`. +- The **model is served through [Vercel AI Gateway](https://vercel.com/docs/ai-gateway)**. A bare `provider/model` string (`anthropic/claude-sonnet-5`) resolves through the default Gateway provider in `ai@6`, authenticated by Vercel's OIDC token — so the same Vercel auth that powers the Sandbox also powers the model, and no `ANTHROPIC_API_KEY` is needed. +- Only the **`bash` tool executes inside the sandbox**. The model navigates the web by emitting `browse` commands, which `bash-tool` runs in the microVM. + +The default task is a product-research example: on Amazon, search for the current top mechanical keyboards and, for the top 5 results, compare each product's title, price, star rating, and number of ratings — returning a comparison table with each product's URL. It is a genuinely browser-only task: Amazon search renders its results client-side and returns nothing useful to a plain HTTP fetch, so the agent has to drive a real browser. The agent plans its own steps — there are no site-specific instructions in the prompt. Override the goal with the `TASK` env var. + +## Setup + +The agent's model (`anthropic/claude-sonnet-5`) is served through [Vercel AI Gateway](https://vercel.com/docs/ai-gateway), so **one Vercel auth covers both the Sandbox and the model — there is no separate `ANTHROPIC_API_KEY`.** + +You need: + +- `BROWSERBASE_API_KEY` — the cloud browser ([browserbase.com/settings](https://www.browserbase.com/settings)). It is passed to the sandbox as a default environment variable (stored encrypted by Vercel and injected into the `browse` commands), so it is never written to a file in the sandbox. +- Vercel Sandbox credentials — `VERCEL_TOKEN` ([vercel.com/account/tokens](https://vercel.com/account/tokens)), `VERCEL_TEAM_ID`, and `VERCEL_PROJECT_ID` (from your Vercel project settings). +- Model auth via AI Gateway — pick one: + - **OIDC (recommended, keyless):** link this directory to a Vercel project and pull its env. The `vercel` CLI writes a short-lived `VERCEL_OIDC_TOKEN` that the Gateway reads automatically — nothing else to manage: + ```bash + vercel link # link to your Vercel project + vercel env pull .env.local # writes VERCEL_OIDC_TOKEN + ``` + - **AI Gateway API key:** create one at [vercel.com/dashboard/ai-gateway](https://vercel.com/dashboard/ai-gateway) and set `AI_GATEWAY_API_KEY` in `.env`. Use this if you prefer a long-lived key over OIDC. + +```bash +pnpm install +cp .env.example .env # fill in BROWSERBASE_API_KEY + Vercel Sandbox creds +vercel link # OIDC path: link the project… +vercel env pull .env.local # …and pull VERCEL_OIDC_TOKEN (skip if using AI_GATEWAY_API_KEY) +pnpm start +``` + +> AI Gateway requires the Vercel team to have a payment method / billing enabled to service model requests (free credits unlock once a card is on file). This is the only model-side prerequisite — there is no Anthropic account or key. + +A successful run provisions a sandbox, prints each `browse` command the agent issues through the `bash` tool, and ends with a `===== FINAL ANSWER =====` summary. + +The default uses a plain `--remote` Browserbase session, which works on any plan. Verified browsers (residential IP + automatic CAPTCHA solving) are a Scale-plan upgrade — see [browserbase.com/pricing](https://www.browserbase.com/pricing). diff --git a/solutions/browsecli-vercel-sandbox/package.json b/solutions/browsecli-vercel-sandbox/package.json new file mode 100644 index 0000000000..a112fe285a --- /dev/null +++ b/solutions/browsecli-vercel-sandbox/package.json @@ -0,0 +1,24 @@ +{ + "name": "browsecli-vercel-sandbox", + "version": "1.0.0", + "private": true, + "license": "MIT", + "repository": "https://github.com/vercel/examples.git", + "description": "A bash-tool agent that runs the browse CLI inside a Vercel Sandbox, driving a Browserbase cloud browser.", + "type": "module", + "scripts": { + "start": "tsx sandbox.ts", + "typecheck": "tsc --noEmit" + }, + "dependencies": { + "@vercel/sandbox": "^2.2.1", + "ai": "^6.0.0", + "bash-tool": "^1.3.0", + "just-bash": "^3.0.1" + }, + "devDependencies": { + "@types/node": "^20.14.0", + "tsx": "^4.19.0", + "typescript": 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Its +// `bash` tool — built with Vercel's `bash-tool` — executes commands INSIDE an +// ephemeral Vercel Sandbox microVM. The `browse` CLI is installed in that +// sandbox and drives a real browser running on Browserbase, so the browser +// never runs in the microVM. The model navigates the web by running `browse` +// commands through the `bash` tool. +import { Sandbox } from '@vercel/sandbox' +import { createBashTool } from 'bash-tool' +import { ToolLoopAgent, stepCountIs } from 'ai' + +const req = (name: string): string => { + const value = process.env[name] + if (!value) { + console.error(`Missing required env var: ${name}`) + process.exit(1) + } + return value +} + +const BROWSERBASE_API_KEY = req('BROWSERBASE_API_KEY') +const TASK = + process.env.TASK || + "Using Amazon (https://www.amazon.com), research the current top mechanical keyboards: search the site, then for the top 5 results compare each product's title, price, star rating, and number of ratings. Return a comparison table including each product's URL." + +const system = `You are an autonomous deep-research agent. You have a \`browse\` CLI (Browserbase browser automation) in your bash tool — it is installed, and its auth and a shared browser session are already configured via environment variables. Learn how to use it by running \`browse --help\` (and \`browse --help\` as needed), then complete the task. When you cite a document, link the direct document itself, not a viewer, preview, or index page that wraps it. Return a clear, well-sourced answer.` + +console.log('› Creating Vercel Sandbox (Firecracker microVM, node24)…') +// Default sandbox env vars. Vercel stores them encrypted server-side and injects +// them into every command, so they reach the `browse` commands the bash tool runs +// — without ever being written to a committed file or echoed. +// BROWSERBASE_API_KEY — authenticates `browse` against Browserbase. +// BROWSE_SESSION=agent — steers `browse` to run remotely and share one named +// browser session across commands, so the agent never has to pass +// --remote/--session flags itself. +const sandbox = await Sandbox.create({ + runtime: 'node24', + timeout: 600_000, + token: req('VERCEL_TOKEN'), + teamId: req('VERCEL_TEAM_ID'), + projectId: req('VERCEL_PROJECT_ID'), + env: { BROWSERBASE_API_KEY, BROWSE_SESSION: 'agent' }, +}) +console.log(`› Sandbox ready: ${sandbox.name}`) + +try { + // Install the browse CLI globally inside the sandbox (bash runs there). + console.log('› Installing the browse CLI inside the sandbox…') + const install = await sandbox.runCommand({ + cmd: 'npm', + args: ['install', '-g', 'browse@latest'], + stderr: process.stderr, + }) + if (install.exitCode !== 0) + throw new Error(`browse install failed (exit ${install.exitCode})`) + + // Adapt the @vercel/sandbox instance to bash-tool's Sandbox interface + // (executeCommand / readFile / writeFiles). bash-tool ships a built-in + // wrapper, but its duck-typing detection doesn't recognize @vercel/sandbox + // v2, so we pass the small explicit adapter documented in the bash-tool + // README. `bash` executes IN the microVM; the agent loop stays on the host. + const streamToString = async ( + stream: NodeJS.ReadableStream + ): Promise => { + const chunks: Buffer[] = [] + for await (const chunk of stream) { + chunks.push(Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk)) + } + return Buffer.concat(chunks).toString('utf-8') + } + + const adapter = { + async executeCommand(command: string) { + const result = await sandbox.runCommand('bash', ['-c', command]) + const [stdout, stderr] = await Promise.all([ + result.stdout(), + result.stderr(), + ]) + return { stdout, stderr, exitCode: result.exitCode } + }, + async readFile(filePath: string) { + const stream = await sandbox.readFile({ path: filePath }) + if (stream === null) throw new Error(`File not found: ${filePath}`) + return streamToString(stream) + }, + async writeFiles(files: Array<{ path: string; content: string | Buffer }>) { + await sandbox.writeFiles( + files.map((f) => ({ + path: f.path, + content: Buffer.isBuffer(f.content) + ? f.content + : Buffer.from(f.content), + })) + ) + }, + } + + // Run bash from the sandbox's home dir (the bash tool prepends `cd `). + const { tools } = await createBashTool({ + sandbox: adapter, + destination: '/vercel/sandbox', + }) + + // The model is served through Vercel AI Gateway: a bare `provider/model` + // string resolves through the default Gateway provider in ai@6. Gateway reads + // its credentials from the environment automatically — `VERCEL_OIDC_TOKEN` + // (provided by `vercel env pull` / a linked Vercel project) or + // `AI_GATEWAY_API_KEY`. No separate Anthropic key is needed. + const agent = new ToolLoopAgent({ + model: 'anthropic/claude-sonnet-5', + tools, + instructions: system, + stopWhen: stepCountIs(40), + }) + + console.log('› Running the agent (loop on host, bash in the sandbox)…\n') + const result = await agent.generate({ + prompt: TASK, + onStepFinish: ({ toolCalls }) => { + for (const call of toolCalls) { + if (call.toolName === 'bash') { + const cmd = (call.input as { command?: string })?.command ?? '' + process.stdout.write(`-> bash: ${cmd}\n`) + } + } + }, + }) + + console.log( + '\n===== FINAL ANSWER =====\n' + + (result.text || '(empty)') + + `\n\n(steps: ${result.steps.length})` + ) +} finally { + await sandbox.stop() +} diff --git a/solutions/browsecli-vercel-sandbox/tsconfig.json b/solutions/browsecli-vercel-sandbox/tsconfig.json new file mode 100644 index 0000000000..b9ed128ec6 --- /dev/null +++ b/solutions/browsecli-vercel-sandbox/tsconfig.json @@ -0,0 +1,16 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ESNext", + "moduleResolution": "Bundler", + "lib": ["ES2022", "DOM"], + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "noEmit": true, + "types": ["node"] + }, + "include": ["sandbox.ts"] +}