Linear Github Integration: Create Issues from Code Commits using Autogen

April 25, 2024
AI Agents, Tools & Integrations
4 min read

Introduction

I use #TODO Comments in commit messages are used to flag future tasks. Tracking these tasks manually is inefficient and error-prone.

I am trying to build using Autogen Agents – Convert these TODOs from Github code commits into Linear tasks.

Background

Autogen Agentic Framework allows for natural language understanding and action-taking and is easy to start with.

Composio is a straightforward way to connect your Autogen Agents with real-life tools. We will be using it to connect our agents to Linear and Github.

TL;DR: Show me the Code

Setup

Install required libraries. 

!pip install pyautogen composio-autogen composio-core
  • 1. pyautogen: Autogen library for Python.
  • 2. composio-core: Core library for accessing tools and integrations.
  • 3. composio-autogen: Autogen plug-in for Composio.

Initialising Agents

To initialise, perform the following steps:

  1. Configure LLM: Use the gpt-4-1106-preview model. Provide the OpenAI environment key or modify the code directly through an environment variable.
  2. Set Up Assistant Agent: Create it with a system prompt and the LLM configuration. Adjust as needed to improve outcomes.
  3. Establish User Proxy Agent: These agents simulate users interacting with Autogen agents. They include a function to end the process upon detecting the word “Terminate,” as specified in the system prompt.
import os

from autogen import AssistantAgent, UserProxyAgent

from composio_autogen import App, Action, ComposioToolset

llm_config = {
    "config_list": [
        {
            "model": "gpt-4-1106-preview",
            "api_key": os.environ.get(
                "OPENAI_API_KEY", "sk-123131****"
            ),
        }
    ]
}

super_agent = AssistantAgent(
    "chatbot",
    system_message="""You are a super intelligent personal assistant.
    You have been given a set of tools that you are supposed to choose from.
    You decide the right tool and execute it to achieve your task.
    Reply TERMINATE when the task is done or when user's content is empty""",
    llm_config=llm_config,
)


# create a UserProxyAgent instance named "user_proxy"
user_proxy = UserProxyAgent(
    "user_proxy",
    is_termination_msg=lambda x: x.get("content", "")
    and "TERMINATE" in x.get("content", ""),
    human_input_mode="NEVER",  # Don't take input from User
    code_execution_config={"use_docker": False},
)

Powering Agents with Tools

We need to connect Github and Linear to our agents, and they ideally accomplish the task via function calls. I will be using Composio to do that.

  1. Authorise Github and Linear connections so that Autogen Agents can interact with it.
composio add github # Authorise Github 

composio add linear # Authorise Linear
  1. Register the tools with Autogen Agent
# Initialise the Composio Tool Set
composio_tools = ComposioToolset()

# Register the authorised Applications, with our agent.
composio_tools.register_tools(
    tools=[App.LINEAR, App.GITHUB], caller=super_agent, executor=user_proxy
)

Executing the Task

Define the task so the agent can execute it. 🚀

task = """For all the todos in my last commit of SamparkAI/Docs,
create a linear issue on project name hermes board and assign to right person"""

response = user_proxy.initiate_chat(super_agent, message=task)

print(response.chat_history)

Output:

The issues have been successfully created on the Linear board for the project "Hermes" as follows:

1. **Extracted TODO from Docs commit**
   - Issue ID: `d578a113-a7ab-4084-9a76-5dbbd4f23b21`
   - Description: A new Linear issue created for the TODO from the latest commit in the SamparkAI/Docs repository.

2. **Evaluate documentation structure**
   - Issue ID: `0c710f8a-8037-4bf4-8ebd-a801531117b5`
   - Description: Evaluate and update the documentation structure based on the latest standards.

3. **Review and finalize API docs**
   - Issue ID: `961651df-ad3c-4b4c-b162-931eead8be19`
   - Description: Review the API documentation to ensure accuracy and completeness.

All issues have been assigned to the appropriate team member. The task is now complete.

Terminate

Final Code

#!pip install pyautogen composio_autogen --quiet

from autogen import AssistantAgent, UserProxyAgent
from composio_autogen import App, Action, ComposioToolset
import os

llm_config = {
    "config_list": [
        {
            "model": "gpt-4-turbo-preview",
            "api_key": os.environ.get("OPENAI_API_KEY", "sk-123***"),
        }
    ]
}

super_agent = AssistantAgent(
    "chatbot",
    system_message="""You are a super intelligent personal assistant.
    You have been given a set of tools that you are supposed to choose from.
    You decide the right tool and execute it to achieve your task.
    Reply TERMINATE when the task is done or when user's content is empty""",
    llm_config=llm_config,
)

# create a UserProxyAgent instance named "user_proxy"
user_proxy = UserProxyAgent(
    "user_proxy",
    is_termination_msg=lambda x: x.get("content", "")
    and "TERMINATE" in x.get("content", ""),
    human_input_mode="NEVER",  # Don't take input from User
    code_execution_config={"use_docker": False},
)

# Initialise the Composio Tool Set
composio_tools = ComposioToolset()

# Register the preferred Applications, with right executor.
composio_tools.register_tools(
    tools=[App.LINEAR, App.GITHUB], caller=super_agent, executor=user_proxy
)

task = """For all the todos in my last commit of SamparkAI/Docs,
create a linear issue on project name hermes board and assign to right person"""

response = user_proxy.initiate_chat(super_agent, message=task)

print(response.chat_history)

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