@sandbank.dev/agent
v0.2.0
Published
Lightweight client for AI agents running inside Sandbank sandboxes
Readme
@sandbank.dev/agent
Lightweight client for AI agents running inside Sandbank sandboxes.
Connects to the relay server via WebSocket, enabling messaging, shared context, and task completion signaling.
Install
pnpm add @sandbank.dev/agentUsage
Runs inside a sandbox. Connection parameters are read from SANDBANK_* environment variables injected by createSession():
import { connect } from '@sandbank.dev/agent'
const session = await connect()
// Listen for messages
session.on('message', async (msg) => {
if (msg.type === 'task') {
const result = await doWork(msg.payload)
await session.send(msg.from, 'done', result)
}
})
// Shared context
const spec = await session.context.get('spec')
await session.context.set('output', { files: ['index.ts'] })
// Signal completion
await session.complete({ status: 'success', summary: 'Built 5 endpoints' })
session.close()CLI
Also available as a CLI tool for shell scripts inside sandboxes:
sandbank-agent send <to> <type> [payload]
sandbank-agent recv [--wait 5000]
sandbank-agent context get <key>
sandbank-agent context set <key> <value>
sandbank-agent complete <status> <summary>Environment Variables
| Variable | Description |
|----------|-------------|
| SANDBANK_WS_URL | Relay WebSocket URL |
| SANDBANK_SESSION_ID | Session identifier |
| SANDBANK_SANDBOX_NAME | This agent's sandbox name |
| SANDBANK_AUTH_TOKEN | Authentication token |
License
MIT
