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Starters are suggestions to help your users get started with your assistant.
starters.py
import chainlit as cl  @cl.set_starters async def set_starters():  return [  cl.Starter(  label="Morning routine ideation",  message="Can you help me create a personalized morning routine that would help increase my productivity throughout the day? Start by asking me about my current habits and what activities energize me in the morning.",  icon="/public/idea.svg",  ),   cl.Starter(  label="Explain superconductors",  message="Explain superconductors like I'm five years old.",  icon="/public/learn.svg",  ),  cl.Starter(  label="Python script for daily email reports",  message="Write a script to automate sending daily email reports in Python, and walk me through how I would set it up.",  icon="/public/terminal.svg",  command="code",  ),  cl.Starter(  label="Text inviting friend to wedding",  message="Write a text asking a friend to be my plus-one at a wedding next month. I want to keep it super short and casual, and offer an out.",  icon="/public/write.svg",  )  ] # ... 

Starters example

With Chat Profiles

Starters also work with Chat Profiles. You can define different starters for different chat profiles.
starters_with_chat_profiles.py
@cl.set_chat_profiles async def chat_profile(current_user: cl.User):  if current_user.metadata["role"] != "ADMIN":  return None   return [  cl.ChatProfile(  name="My Chat Profile",  icon="https://picsum.photos/250",  markdown_description="The underlying LLM model is **GPT-3.5**, a *175B parameter model* trained on 410GB of text data.",  starters=[  cl.Starter(  label="Morning routine ideation",  message="Can you help me create a personalized morning routine that would help increase my productivity throughout the day? Start by asking me about my current habits and what activities energize me in the morning.",  icon="/public/idea.svg",  ),  cl.Starter(  label="Explain superconductors",  message="Explain superconductors like I'm five years old.",  icon="/public/learn.svg",  ),  ],  )  ]