## 🚀🔗 Integrating Composio with Google AI Python
Streamline the integration of Composio with Google AI Python to enhance the capabilities of Gemini models, allowing them to interact directly with external applications and expanding their operational scope.
### Objective
- **Automate starring a GitHub repository** using conversational instructions via Google AI Python's Function Calling feature.
### Installation and Setup
Ensure you have the necessary packages installed and connect your GitHub account to allow your agents to utilize GitHub functionalities.
```bash
# Install Composio LangChain package
pip install composio-google
# Connect your GitHub account
composio-cli add github
# View available applications you can connect with
composio-cli show-apps
```
### Usage Steps
#### 1. Import Base Packages
Prepare your environment by initializing necessary imports from Google AI Python and setting up your client.
```python
from vertexai.generative_models import GenerativeModel
# Initialize Google AI Python client
model = GenerativeModel("gemini-pro")
```
### Step 2: Integrating GitHub Tools with Composio
This step involves fetching and integrating GitHub tools provided by Composio, enabling enhanced functionality for Google AI Python operations.
```python
from composio_google import App, ComposioToolset
toolset = ComposioToolset()
actions = toolset.get_tools(apps=[App.GITHUB])
```
### Step 3: Agent Execution
This step involves configuring and executing the agent to carry out actions, such as starring a GitHub repository.
```python
# Define task
task = "Star a repo composiohq/composio on GitHub"
# Send a message to the model
response = chat.send_message(task)
```
### Step 4: Validate Execution Response
Execute the following code to validate the response, ensuring that the intended task has been successfully completed.
```python
result = composio_toolset.handle_response(response)
print("Function call result:", result)
```
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"description": "## \ud83d\ude80\ud83d\udd17 Integrating Composio with Google AI Python\n\nStreamline the integration of Composio with Google AI Python to enhance the capabilities of Gemini models, allowing them to interact directly with external applications and expanding their operational scope.\n\n### Objective\n\n- **Automate starring a GitHub repository** using conversational instructions via Google AI Python's Function Calling feature.\n\n### Installation and Setup\n\nEnsure you have the necessary packages installed and connect your GitHub account to allow your agents to utilize GitHub functionalities.\n\n```bash\n# Install Composio LangChain package\npip install composio-google\n\n# Connect your GitHub account\ncomposio-cli add github\n\n# View available applications you can connect with\ncomposio-cli show-apps\n```\n\n### Usage Steps\n\n#### 1. Import Base Packages\n\nPrepare your environment by initializing necessary imports from Google AI Python and setting up your client.\n\n```python\nfrom vertexai.generative_models import GenerativeModel\n\n# Initialize Google AI Python client\nmodel = GenerativeModel(\"gemini-pro\")\n```\n\n### Step 2: Integrating GitHub Tools with Composio\n\nThis step involves fetching and integrating GitHub tools provided by Composio, enabling enhanced functionality for Google AI Python operations.\n```python\nfrom composio_google import App, ComposioToolset\n\ntoolset = ComposioToolset()\nactions = toolset.get_tools(apps=[App.GITHUB])\n```\n\n### Step 3: Agent Execution\n\nThis step involves configuring and executing the agent to carry out actions, such as starring a GitHub repository.\n\n```python\n# Define task\ntask = \"Star a repo composiohq/composio on GitHub\"\n\n# Send a message to the model\nresponse = chat.send_message(task)\n```\n\n### Step 4: Validate Execution Response\n\nExecute the following code to validate the response, ensuring that the intended task has been successfully completed.\n\n```python\nresult = composio_toolset.handle_response(response)\nprint(\"Function call result:\", result)\n```\n",
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