## 🚀🔗 Leveraging Claude with Composio
Facilitate the integration of Claude with Composio to empower Claude models to directly interact with external applications, broadening their capabilities and application scope.
### Objective
- **Automate starring a GitHub repository** using conversational instructions via Claude Function Calls.
### 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-claude
# 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 Claude and setting up your client.
```python
import anthropic
# Initialize Claude client
client = anthropic.Anthropic()
```
### Step 2: Integrating GitHub Tools with Composio
This step involves fetching and integrating GitHub tools provided by Composio, enabling enhanced functionality for LangChain operations.
```python
from composio_claude import App, ComposioToolSet
toolset = ComposioToolSet()
actions = toolset.get_tools(tools=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
my_task = "Star a repo composiohq/composio on GitHub"
# Create a chat completion request to decide on the action
response = client.beta.tools.messages.create(
model="claude-3-opus-20240229",
max_tokens=1024,
tools= actions,
messages=[{"role": "user", "content": "Star me composiohq/composio repo in github."}],
)
pprint(response)
```
### Step 4: Validate Execution Response
Execute the following code to validate the response, ensuring that the intended task has been successfully completed.
```python
result = toolset.handle_tool_calls(response)
pprint(result)
```
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"description": "## \ud83d\ude80\ud83d\udd17 Leveraging Claude with Composio\n\nFacilitate the integration of Claude with Composio to empower Claude models to directly interact with external applications, broadening their capabilities and application scope.\n\n### Objective\n\n- **Automate starring a GitHub repository** using conversational instructions via Claude Function Calls.\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-claude\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 Claude and setting up your client.\n\n```python\nimport anthropic\n\n# Initialize Claude client\nclient = anthropic.Anthropic()\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 LangChain operations.\n```python\nfrom composio_claude import App, ComposioToolSet\n\ntoolset = ComposioToolSet()\nactions = toolset.get_tools(tools=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\nmy_task = \"Star a repo composiohq/composio on GitHub\"\n\n# Create a chat completion request to decide on the action\nresponse = client.beta.tools.messages.create(\n model=\"claude-3-opus-20240229\",\n max_tokens=1024,\n tools= actions,\n messages=[{\"role\": \"user\", \"content\": \"Star me composiohq/composio repo in github.\"}],\n)\npprint(response)\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 = toolset.handle_tool_calls(response)\npprint(result)\n```\n",
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