> ## Documentation Index
> Fetch the complete documentation index at: https://composio-27-feat-docs-revamp.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Using Composio With Lyzr

> Integrate Composio with Lyzr agents to let them seamlessly interact with external apps

**Composio enables** your **Lyzr agents** to **connect** with many **tools**!

<Tip>Goal: Star a repository on GitHub with natural language & Lyzr Agent</Tip>

### Install Packages & Connect a Tool

These commands prepare your environment for seamless interaction between Lyzr and Github.

<CodeGroup>
  ```bash Run command
      pip install lyzr-automata -q
      pip install composio_lyzr
      #Connect your Github so agents can use it. 
      composio add github
      #Check all different apps which you can connect with
      composio apps

  ```
</CodeGroup>

### Goal: Use Lyzr Agent to Interact with Github using Composio

<Steps>
  <Step title="Import Base Packages">
    <CodeGroup>
      ```python Default Imports

          from lyzr_automata import Task, Agent
          from lyzr_automata.ai_models.openai import OpenAIModel
          from composio_lyzr import ComposioToolSet, App, Action
          from lyzr_automata.pipelines.linear_sync_pipeline import LinearSyncPipeline


          open_ai_text_completion_model = OpenAIModel( api_key="sk-...", parameters={"model": "gpt-4-turbo"})

      ```
    </CodeGroup>
  </Step>

  <Step title="Execute the Agent">
    <CodeGroup>
      ```python Lyzr Agent Executes Task
          lyzr_agent = Agent(
              role="Github Agent",
              prompt_persona="You are AI agent that is responsible for taking actions on Github on users behalf. You need to take action on Github using Github APIs",
          )

          composio_toolset = ComposioToolSet().get_lyzr_tool(Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER)

          task = Task(
              name="Github Starring",
              agent=lyzr_agent,
              tool=composio_toolset,
              model=open_ai_text_completion_model,
              instructions="Star a repo composiohq/composio on GitHub",
          )

          LinearSyncPipeline(name="Composio Lyzr", completion_message="Task completed",tasks=[task]).run()
      ```
    </CodeGroup>
  </Step>

  <Step title="Check Response">
    <CodeGroup>
      ```bash Lyzr agent output
          START PIPELINE Composio Lyzr :: start time : 1713439069.754745
          START TASK Github Starring :: start time : 1713439069.7548192
          output : {'execution_details': {'executed': True}, 'response_data': ''}
          END TASK Github Starring :: end time :  1713439073.961327 :: execution time : 4.206507921218872
          END PIPELINE Composio Lyzr :: end time :  1713439073.961421 :: execution time : 4.206676006317139
          Task completed
          [{'task_id': UUID('d0280a9d-89ef-4f8b-8145-58588aebcb6c'), 'task_output': {'execution_details': {'executed': True}, 'response_data': ''}}]
      ```
    </CodeGroup>
  </Step>
</Steps>