integrating-agent-auth

name	integrating-agent-auth
description	Integrates Scalekit Agent Auth into a project to handle OAuth flows, token storage, and automatic refresh for third-party services (Gmail, Slack, Notion, Calendar). Use when a user needs to connect to an external service, authorize OAuth access, fetch access or refresh tokens, or execute API calls on behalf of a user.

Agent Auth Integration

Scalekit handles the full OAuth lifecycle — authorization, token storage, and refresh — so agents can act on behalf of users in Gmail, Slack, Notion, Calendar, and other connectors.

Required env vars: SCALEKIT_CLIENT_ID, SCALEKIT_CLIENT_SECRET, SCALEKIT_ENV_URL → Get from app.scalekit.com: Developers → Settings → API Credentials

Setup

Install the SDK and initialize the client:

Important: Except for Gmail, all connectors must be configured in the Scalekit Dashboard first before creating authorization URLs.

To set up a connector: Scalekit Dashboard → Agent Auth → Connections → + Create Connection → Select connector → Set Connection Name → Save

Python

pip install scalekit-sdk-python

import scalekit.client, os
from dotenv import load_dotenv
load_dotenv()

scalekit = scalekit.client.ScalekitClient(
    client_id=os.getenv("SCALEKIT_CLIENT_ID"),
    client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
    env_url=os.getenv("SCALEKIT_ENV_URL"),
)
actions = scalekit.actions

Node.js

npm install @scalekit-sdk/node@2.2.0-beta.1

import { ScalekitClient } from '@scalekit-sdk/node';
import 'dotenv/config';

const scalekitClient = new ScalekitClient(
  process.env.SCALEKIT_ENV_URL!,
  process.env.SCALEKIT_CLIENT_ID!,
  process.env.SCALEKIT_CLIENT_SECRET!
);
const { connectedAccounts } = scalekitClient;

Connector setup

Before integrating with a connector, follow these steps in the Scalekit Dashboard:

Gmail is the only connector that does not require dashboard setup. Skip this section for Gmail.

For all other connectors (Slack, Notion, Google Calendar, etc.):

1. Go to Scalekit Dashboard → Agent Auth → Connections
2. Click + Create Connection
3. Select the connector you want to use
4. Enter a Connection Name (e.g., MY_SLACK, MY_NOTION)
5. Click Save

Important: The Connection Name you set in the dashboard is exactly what you use as the connection_name parameter in your code. They must match exactly.

Integration workflow

First, ask the user:

Are you starting fresh and want a quick test with Gmail, or are you integrating directly into your project?

• If fresh / quick test: Use the Gmail example below (Gmail is the only connector that doesn't require dashboard setup)
• If integrating directly: Create your connector in the Scalekit Dashboard first, then adapt the workflow below to your connector

Copy this checklist and check off steps as you complete them:

Agent Auth Integration Progress:
- [ ] Step 1: SDK installed and client initialized
- [ ] Step 2: Connected account created for the user
- [ ] Step 3: User has authorized the connection (status = ACTIVE)
- [ ] Step 4: Access token fetched successfully
- [ ] Step 5: Downstream API call succeeds with fetched token

Step 1 — Create a connected account

Replace "user_123" with the project's actual user ID. Replace "gmail" with the target connector.

Python

response = actions.get_or_create_connected_account(
    connection_name="gmail",
    identifier="user_123"
)
connected_account = response.connected_account

Node.js

const response = await connectedAccounts.getOrCreateConnectedAccount({
  connector: 'gmail',
  identifier: 'user_123',
});
const connectedAccount = response.connectedAccount;

Step 2 — Authorize the user

If status is not ACTIVE, the user must complete OAuth. In a web app, redirect to link. In CLI/dev, print and wait.

Python

if connected_account.status != "ACTIVE":
    link_response = actions.get_authorization_link(
        connection_name="gmail",
        identifier="user_123"
    )
    print("Authorize here:", link_response.link)
    input("Press Enter after authorizing...")

Node.js

if (connectedAccount?.status !== 'ACTIVE') {
  const linkResponse = await connectedAccounts.getMagicLinkForConnectedAccount({
    connector: 'gmail',
    identifier: 'user_123',
  });
  console.log('Authorize here:', linkResponse.link);
  // Web app: redirect user to linkResponse.link
}

Step 3 — Fetch OAuth tokens

ALWAYS call get_connected_account immediately before any API call — Scalekit auto-refreshes tokens and this guarantees the latest valid token.

Python

response = actions.get_connected_account(
    connection_name="gmail",
    identifier="user_123"
)
tokens = response.connected_account.authorization_details["oauth_token"]
access_token = tokens["access_token"]
refresh_token = tokens["refresh_token"]

Node.js

const accountResponse = await connectedAccounts.getConnectedAccountByIdentifier({
  connector: 'gmail',
  identifier: '[e-mail]',
});
const authDetails = accountResponse?.connectedAccount?.authorizationDetails;
const accessToken = authDetails?.details?.case === 'oauthToken'
  ? authDetails.details.value?.accessToken : undefined;
const refreshToken = authDetails?.details?.case === 'oauthToken'
  ? authDetails.details.value?.refreshToken : undefined;

Step 4 — Call the third-party API

Use access_token from Step 3 as a Bearer token. Example: fetch 5 unread Gmail messages.

Python

import requests

headers = {"Authorization": f"Bearer {access_token}"}
list_url = "https://gmail.googleapis.com/gmail/v1/users/me/messages"

messages = requests.get(
    list_url, headers=headers, params={"q": "is:unread", "maxResults": 5}
).json().get("messages", [])

for msg in messages:
    data = requests.get(
        f"{list_url}/{msg['id']}", headers=headers,
        params={"format": "metadata", "metadataHeaders": ["From", "Subject", "Date"]}
    ).json()
    hdrs = data.get("payload", {}).get("headers", [])
    print(next((h["value"] for h in hdrs if h["name"] == "Subject"), "No Subject"))
    print(next((h["value"] for h in hdrs if h["name"] == "From"), "Unknown"))
    print(data.get("snippet", ""))
    print("-" * 50)

Node.js

const listUrl = 'https://gmail.googleapis.com/gmail/v1/users/me/messages';
const params = new URLSearchParams({ q: 'is:unread', maxResults: '5' });

const { messages = [] } = await fetch(`${listUrl}?${params}`, {
  headers: { Authorization: `Bearer ${accessToken}` },
}).then(r => r.json());

for (const msg of messages) {
  const msgData = await fetch(
    `${listUrl}/${msg.id}?format=metadata&metadataHeaders=From&metadataHeaders=Subject&metadataHeaders=Date`,
    { headers: { Authorization: `Bearer ${accessToken}` } }
  ).then(r => r.json());

  const h = msgData.payload?.headers ?? [];
  console.log('Subject:', h.find(x => x.name === 'Subject')?.value ?? );
  .(, h.( x. === )?. ?? );
  .(, msgData. ?? );
  .(.());
}

Adapting to other connectors

Replace "gmail" with any supported connector name: slack, notion, calendar, etc. The SDK workflow (Steps 1–3) is identical for all connectors. Only the downstream API call (Step 4) changes.

For connector-specific API details, see CONNECTORS.md.

Building agents

Use Scalekit tools with AI frameworks to build agents that can execute actions on behalf of users.

LangChain agents

Create conversational agents with LangChain that can autonomously call Scalekit tools based on user intent.

Python

from langchain_openai import ChatOpenAI
from langchain.agents import AgentExecutor, create_openai_tools_agent
from langchain_core.prompts import ChatPromptTemplate

# Fetch tools from Scalekit in LangChain format
tools = actions.langchain.get_tools(
    identifier="user_123",
    providers=["GMAIL"],
    page_size=100
)

# Define the agent prompt
prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a helpful assistant with access to external tools."),
    ("placeholder", "{chat_history}"),
    ("human", "{input}"),
    ("placeholder", "{agent_scratchpad}"),
])

# Create and run the agent
llm = ChatOpenAI(model="gpt-4o")
agent = create_openai_tools_agent(llm, tools, prompt)
executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
result = executor.invoke({"input": "fetch my last 5 unread emails and summarize them"})

Google ADK agents

Build agents using Google's Agent Development Kit with native Gemini integration.

Python

from google.adk.agents import Agent

# Fetch tools from Scalekit in Google ADK format
gmail_tools = actions.google.get_tools(
    providers=["GMAIL"],
    identifier="user_123",
    page_size=100
)

# Create the agent
agent = Agent(
    name="gmail_assistant",
    model="gemini-2.5-flash",
    description="Gmail assistant that can read and manage emails",
    instruction="You are a helpful Gmail assistant that can read, send, and organize emails.",
    tools=gmail_tools
)

# Run the agent
response = agent.process_request("fetch my last 5 unread emails and summarize them")

For more examples and framework-specific patterns, see code-samples.md.

Deep reference

For comprehensive documentation on connected accounts lifecycle, states, and API usage, see connected-accounts.md.

For code samples and implementation examples by framework, see code-samples.md.

For an overview of supported providers and their capabilities, see providers.md.

For comprehensive token management including refresh, security, and monitoring, see token-management.md.

For configuring your own OAuth credentials per connector (whitelabeling, dedicated quotas), see byoc.md.