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Introduction

let enable your telegram account to AI agents for talking with your friends as you

  • CrewAI Autonomous AI Agents is an good designed and easy to use agent framework.
  • Tiger is an chip to your agents that enables to making real world operations by thinking, just like Neuralink.

TL;DR: This post is about connecting telegram to your CrewAI agents with Tiger library. After that your agent can easily read your messages and write answers

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General View

1

Login into to Telegram

We will make this in your local and with Tiger library. Your session management is on the telethon library but Tiger have a non-async interface to control your telegram.

2

Creating Captain, Planner and Executor Agents

In this step we will create a crew in this type to get more success on talking.

3

Connecting Tiger to Your Agents

At the end we will connect the tiger in just 1-line to your agents for enable telegram access, google search, code run and many other ability.

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Installing Requirements

For this operation we’ll need the CrewAI and Upsonic libraries.

pip3 install crewai 'crewai[tools]' langchain-openai upsonic

Imports

from crewai import Agent, Task, Crew, Process
from langchain_openai import ChatOpenAI
from upsonic import Tiger

Connecting to telegram

In this point we will use the Tiger its an function hub for ai agents, and its have a ready-to-use telegram interface for our agent. Also its have search-engines, code-interpreters and more.

Tiger().get(
  "communication.telegram.as_user.signin__user"
  )()

Creating Agents

Now we will make OpenAI Connection. In this point we will use gpt-4-0125-preview for more context.

OPENAI_API_KEY = "sk-" # Your openai api key

llm = ChatOpenAI(
  model="gpt-4-0125-preview", 
  api_key=OPENAI_API_KEY
  )

# Captain agent for managing mission
captain = Agent(
  role="You are the captain of mission",
  goal="Managing the crew for complating mission as want",
  backstory="You are graduated from Captaining section of University",
  verbose=True,
  allow_delegation=False,
  llm=llm
)

# Planner agent for generating a plan for mission
planner = Agent(
  role="The great plan master in the World",
  goal="Generating plans for mission",
  backstory="You are graduated from Planning section of University",
  verbose=True,
  allow_delegation=False,
  llm=llm
)

# Executor agent for making executions for mission
executor = Agent(
  role="The great executor in the World",
  goal="Executing plan and complating the mission",
  backstory="You are graduated from Executing section of University",
  verbose=True,
  allow_delegation=False,
  llm=llm
)

Connecting to Tiger and run

In this stage we will give writing answers to incoming messages task and connecting to Tiger.

tools = Tiger().crewai()

telegram_task = Task(
  description="""
Writing friendly and solution-focus answers.
For unreaded messages in telegram.
Read the last messages and answer them.
Please answer as a normal human. 
You can make many think with your functions also.
""",
  expected_output="I write to this, this and this.",
  agent=captain,
  tools=tools
)

Let’s kick off

crew = Crew(
  agents=[captain, planner, executor],
  tasks=[telegram_task],
  verbose=2,
)


result = crew.kickoff()
print(result)