Use Composio to get an array of tools with your LlamaIndex agent.
Project description
🦙 Using Composio With LlamaIndex
Integrate Composio with llamaindex agents to allow them to interact seamlessly with external apps & data sources, enhancing their functionality and reach.
Goal
- Star a repository on GitHub using natural language commands through a llamaindex Agent.
Installation and Setup
Ensure you have the necessary packages installed and connect your GitHub account to allow your agents to utilize GitHub functionalities.
# Install Composio llamaindex package
pip install composio-llamaindex
# 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 llamaindex and setting up your agent.
from llama_index.llms.openai import OpenAI
from llama_index.core.llms import ChatMessage
from llama_index.core.agent import FunctionCallingAgentWorker
import dotenv
from llama_index.core.tools import FunctionTool
# Load environment variables from .env
dotenv.load_dotenv()
llm = OpenAI(model="gpt-4-turbo")
2. Fetch GitHub llamaindex Tools via Composio
Access GitHub tools provided by Composio for llamaindex.
from composio_llamaindex import App, Action, ComposioToolSet
# Get All the tools
composio_toolset = ComposioToolSet()
tools = composio_toolset.get_actions(
actions=[Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER]
)
print(tools)
3. Prepare the Agent
Configure the agent to perform tasks such as starring a repository on GitHub.
prefix_messages = [
ChatMessage(
role="system",
content=(
"You are now a integration agent, and what ever you are requested, you will try to execute utilizing your toools."
),
)
]
agent = FunctionCallingAgentWorker(
tools=tools,
llm=llm,
prefix_messages=prefix_messages,
max_function_calls=10,
allow_parallel_tool_calls=False,
verbose=True,
).as_agent()
4. Check Response
Validate the execution and response from the agent to ensure the task was completed successfully.
response = agent.chat("Hello! I would like to star a repo composiohq/composio on GitHub")
print("Response:", response)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for composio_llamaindex-0.5.15.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2ff3a7292f4367988271fcb214b6d12954a3dbeaca55547ade38665bddb41b56 |
|
MD5 | cc76eb0c8eec0e281d292b8d9057d818 |
|
BLAKE2b-256 | 3bd9a9a2ac25a56d72d5b18c088f06300b15d7325e4851cef48824097cf7429e |
Hashes for composio_llamaindex-0.5.15-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b9d032f56ff04a7b22d18b8e8409bb393af0084dc6d3fb278208b9de4f5bec38 |
|
MD5 | f0d50c0b30aa4a032379b756932d5c29 |
|
BLAKE2b-256 | 924df91e0d82a5ef4c71bc19bdf9365cd4bc11142bb307354ba0c8eb52c16041 |