@pushary/openai-agents

Full walkthrough: Human-in-the-loop for the OpenAI Agents SDK. Reaching your own end-users on their phones is the Pushary Partner plan.

Human-in-the-loop for the OpenAI Agents SDK (TypeScript). A function tool that asks a real human to approve, delivered to their phone, and blocks on a fail-closed answer.

Requires the Pushary Partner plan.

Install

npm i @pushary/openai-agents @openai/agents zod

Set PUSHARY_API_KEY (get it in your dashboard).

Connect a phone once

import { connect } from '@pushary/openai-agents'
const { universalLink } = await connect({ apiKey: process.env.PUSHARY_API_KEY! }, user.id)

The tool

import { Agent, run } from '@openai/agents'
import { pusharyTool } from '@pushary/openai-agents'

const agent = new Agent({
  name: 'Support',
  instructions: 'Call ask_human before issuing any refund.',
  tools: [pusharyTool({ apiKey: process.env.PUSHARY_API_KEY! }, { externalId: user.id })],
})

const result = await run(agent, 'Refund order 5?')

When the model calls the tool, Pushary delivers the question to that user's phone and the call blocks until they answer. The tool returns a fail-closed instruction ("The human declined. Do not proceed."). externalId is bound in code, never taken from model input, so a prompt-injected model cannot ask the wrong person.

Gating a tool the model cannot skip

pusharyTool is a tool the model chooses to call. That is right for "go ask someone about this", and wrong for "this must not happen without a yes", because a model that does not want to be interrupted can decline to call it.

The SDK's own gate splits in two: needsApproval decides whether a human is needed, and the run then stops with result.interruptions. Nothing asks anyone. Resolving those interruptions is the caller's job, and resolvePusharyInterruptions is that job done:

import { Agent, run, tool } from '@openai/agents'
import { z } from 'zod'
import { pusharyNeedsApproval, resolvePusharyInterruptions } from '@pushary/openai-agents'

const issueRefund = tool({
  name: 'issue_refund',
  description: 'Refund an order',
  parameters: z.object({ amount: z.number() }),
  needsApproval: pusharyNeedsApproval(),
  execute: async ({ amount }) => chargeBack(amount),
})

let result = await run(agent, 'Refund order 1234')
while (result.interruptions?.length) {
  const outcome = await resolvePusharyInterruptions(
    { externalId: user.id },
    { interruptions: result.interruptions, state: result.state },
  )
  if (!outcome.allApproved) break
  result = await run(agent, result.state)
}

Each interruption becomes one decision on the phone, resolved in order so the person sees one question at a time. A denial is handed back to the model as the rejection message, so it knows why it was stopped rather than retrying blindly.

Fail-closed: a denial, an expiry, or nobody answering all reject. For a multi-tenant product, resolve the end-user per interruption:

resolvePusharyInterruptions(
  { externalId: (item) => ownerOf(item.rawItem.callId) },
  { interruptions: result.interruptions, state: result.state },
)

Pass runId when you replay a run under ids you mint yourself, so a replay resolves to the same decisions instead of paging twice.

Durable approvals

For a wait longer than a request can hold, don't block. Two options:

1. Native park/resume. Mark real tools needsApproval: true, serialize the run state (result.state.toString()), and open a Pushary decision per interruption with a callbackUrl. On the signed callback, resolvePusharyCallback gives you the answer; approve or reject on the restored state (RunState.fromString(agent, saved)) and re-run(agent, state). Pin your @openai/agents version, as the RunState API is pre-1.0.
2. Webhook-only. Skip the SDK's park and drive your own flow off createDurableDecision + resolvePusharyCallback.

import { resolvePusharyCallback } from '@pushary/openai-agents'

// POST /api/pushary/callback
export async function POST(req: Request) {
  const raw = await req.text()
  const cb = resolvePusharyCallback(raw, req.headers.get('x-pushary-signature'), process.env.PUSHARY_WEBHOOK_SECRET!)
  if (!cb) return new Response('bad signature', { status: 401 })
  // look up the parked run by cb.correlationId, then approve/reject and resume
  return new Response('ok')
}

Python

A Python port of the blocking tool ships in python/ and on PyPI:

pip install pushary-openai-agents

See python/README.md for the Python API.

API

• connect(config, externalId) — enroll an end-user's phone.
• pusharyTool(config, { externalId }) — an OpenAI Agents function tool that blocks on a human.
• pusharyNeedsApproval() — a needsApproval predicate that routes every call to a human.
• resolvePusharyInterruptions(config, { interruptions, state }) — ask about each interruption, then approve or reject it on the run state.
• createDurableDecision(config, input) — open a decision with a callbackUrl for the durable path.
• resolvePusharyCallback(raw, signature, secret) — verify + parse a callback into { correlationId, answer, approved, ... }.
• createPusharyGate(config) — the raw fail-closed gate, for anything the helpers above do not cover.
• askExternalUser, describeAnswer, isAffirmative, deterministicKey, SIGNATURE_HEADER.

Example

A runnable example is in examples/.

License

MIT