Agent Templates
Freshdesk CSAT Agent

CSAT follow-up agents that close the feedback loop on-behalf-of your users

Connect two real services, delegate OAuth to your users, and ship a working agent in minutes. Clone the sample, swap in your tools, and go from zero to multi-connector in a single afternoon.

Freshdesk CSAT Agent
Sample Agent for Acme
May 22 · 10:00 AM ·
47s
Send CSAT follow-ups for all tickets resolved today
J
Fetching resolved Freshdesk tickets
Fetch resolved tickets
freshdesk_list_tickets
Score CSAT risk
llm_score_resolution
Send follow-up via Gmail
gmail_send_message
CSAT run: 24 tickets
High-risk follow-up sent
"6-reply ticket resolved after 3 days - proactive apology drafted"
Sent from rep's Gmail, customer can reply directly
Result
24 follow-ups sent: 4 high-risk, 9 medium, 11 standard
All sent from rep's own Gmail - not support@ alias
Message Claude...
Trusted by teams shipping agents to production
Freshdesk CSAT Agent
Sample Agent for Acme
May 22 · 10:00 AM ·
47s
Send CSAT follow-ups for all tickets resolved today
J
Fetching resolved Freshdesk tickets
Fetch resolved tickets
freshdesk_list_tickets
Score CSAT risk
llm_score_resolution
Send follow-up via Gmail
gmail_send_message
CSAT run: 24 tickets
High-risk follow-up sent
"6-reply ticket resolved after 3 days - proactive apology drafted"
Sent from rep's Gmail, customer can reply directly
Result
24 follow-ups sent: 4 high-risk, 9 medium, 11 standard
All sent from rep's own Gmail - not support@ alias
Message Claude...

How the Google ADK agent triggers CSAT follow-ups from resolved Freshdesk tickets

A real working agent you can deploy

This repo uses a single SCALEKIT_USER_ID env var to simulate one user. In production, pass each user's real ID as the identifier on every Scalekit call, and send them an authorization link whenever their connector status is not ACTIVE.

01
Authorize, then orchestrate
main.py
Every connection is authorized once via a one-time link. Scalekit refreshes tokens for Freshdesk and Gmail automatically before each ADK agent run. main.py runs on a daily schedule, fetches resolved tickets, and passes Scalekit-managed tools into the ADK agent's tool registry.
main.py
import os
from scalekit import ScalekitClient
from langchain.agents import create_tool_calling_agent

client = ScalekitClient(
    env_url=os.environ["SCALEKIT_ENV_URL"],
    client_id=os.environ["SCALEKIT_CLIENT_ID"],
    client_secret=os.environ["SCALEKIT_CLIENT_SECRET"],
)

# LangChain-compatible tools scoped to this user
tools = client.actions.langchain.get_tools(
    identifier="user@example.com",
    connection_names=["freshdesk", "gmail"],
)

agent = create_tool_calling_agent(llm, tools, prompt)
02
Fetch resolved Freshdesk tickets
fetch_tickets.py
03
Score resolution quality with LLM
score_resolution.py
04
Draft personalized CSAT follow-up
draft_followup.py
05
Send via Gmail as the support rep
send_gmail.py
Why choose Scalekit

Delegated identity. Not service accounts.

Credentials never touch agent code or LLM context. The agent acts as the user, not as a shared bot.
Delegated OAuth - Agent reads your calendar, your inbox — scoped to the authorizing identity, not org-wide.
Credentials outside agent runtime  -  Tokens never touch agent code or LLM context. Both failure modes covered.
Token lifecycle automatic  -  Refresh, expiry, rotation across all connectors. One SDK call. Zero management code.
200+ prebuilt connectors  -  Google, Slack, HubSpot, GitHub, Jira, Notion, Salesforce — same auth pattern everywhere.

Agents that follow up on resolved tickets, without the auth plumbing

Two things you'd otherwise build: Freshdesk Basic Auth storage and per-rep Gmail OAuth. Works with Google ADK out of the box. Handled.

OAuth flow per connector
One SDK call returns a delegated token for any connector. Google, HubSpot, Slack, same pattern across all 200+ connectors
tools = client.actions.langchain.get_tools(
    identifier=user_id,
    connection_names=["freshdesk", "gmail"],
)
agent = create_tool_calling_agent(llm, tools, prompt)
Secure token vault  
Scalekit stores OAuth credentials outside agent code and outside LLM context. Both are separate failure modes. Both covered
client = ScalekitClient(
    env_url=os.environ["SCALEKIT_ENV_URL"],
    client_id=os.environ["SCALEKIT_CLIENT_ID"],
    client_secret=os.environ["SCALEKIT_CLIENT_SECRET"],
)
# Credentials never in agent code or LLM context
Token refresh logic
Token lifecycle handled automatically — expiry, rotation, re-auth — across every connector. Agent runs in 6 months. Same call works
# Day 1 or day 180 - same call works
tools = client.actions.langchain.get_tools(
    identifier=user_id,
    connection_names=["freshdesk", "gmail"],
)
Try other Agent Templates

Prebuilt agents you can ship today

Each one runs on delegated identity, scoped per user.

SUPPORT
Freshdesk CSAT follow-up agent
Google ADK agent that watches low CSAT scores in Freshdesk and drafts personalised follow-ups for support leads.
SUPPORT
Support triage agent
Read Zendesk tickets, fetch runbooks from Notion, and route to the right Slack channel with a drafted response.
SUPPORT
Support ticket automation (Google ADK)
Google ADK agent that classifies Zendesk tickets, pulls Notion context, and posts to Slack. End-to-end ticket handoff.
OPS
Email-to-calendar scheduling agent
Parse scheduling intent from Gmail threads and create Google Calendar events with the right attendees and timezone.
GTM
HubSpot to Slack updates agent
Watch HubSpot deal stage changes and post structured updates to the right Slack channel. Reps stop checking the CRM all day.
GTM
CRM AI agent
Log calls, update opportunity stages, and surface stalled deals across HubSpot or Salesforce. No manual data entry.
Customize the sample

Clone it and own it with connectors you choose

Don't sweat the integration. Point a coding agent at the repo. It clones, swaps in your connectors, and adds new steps for you.

1
Install a coding agent
terminal

claude "Set up a Freshdesk CSAT follow-up agent using Freshdesk and Gmail via Scalekit"

terminal

codex "Set up a Freshdesk CSAT follow-up agent using Freshdesk and Gmail via Scalekit"

terminal

gh copilot suggest "Set up a Freshdesk CSAT follow-up agent using Freshdesk and Gmail via Scalekit"

terminal

Open Cursor Composer (Cmd+Shift+I) Paste the prompt from the Prompt tab

terminal

npx skills add scalekit-inc/skills --skill setup-scalekit

2
Give it this prompt

Clone github.com/scalekit-inc/python-connect-demos/langchain. Set connection_names = ["freshdesk", "gmail"]. Build a Google ADK CSAT agent: fetch Freshdesk tickets resolved in the past 24 hours, score each for CSAT risk with the LLM, draft a personalized follow-up email per ticket, send via Gmail as the authenticated rep (not a shared alias). Set SCALEKIT_ENV_URL, SCALEKIT_CLIENT_ID, SCALEKIT_CLIENT_SECRET in .env.

Build your own
multi-connector agent

Add connectors. Change the LLM. Same delegated auth pattern.