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# app/agent.py
from llama_index.core import Settings
from llama_index.llms.gemini import Gemini
from llama_index.core.agent import FunctionCallingAgentWorker
from composio_llamaindex import ComposioToolSet, App
from llama_index.core.llms import ChatMessage
class GmailAgent:
def __init__(self, google_api_key: str, composio_api_key: str):
# Set up Gemini LLM
Settings.llm = Gemini(
model="models/gemini-1.5-pro",
api_key=google_api_key
)
# Initialize Composio ToolSet
self.composio_toolset = ComposioToolSet(api_key=composio_api_key)
self.gmail_tools = self.composio_toolset.get_tools(apps=[App.GMAIL])
# Set up agent
prefix_messages = [
ChatMessage(
role="system",
content="""You are a Gmail Assistant that can:
- Read and analyze email content
- Draft professional replies
- Manage email threads
Use the available Gmail tools to perform these actions."""
)
]
agent_worker = FunctionCallingAgentWorker.from_tools(
tools=self.gmail_tools,
prefix_messages=prefix_messages,
verbose=True
)
self.agent = agent_worker.as_agent()
def authenticate_gmail(self):
request = self.composio_toolset.initiate_connection(app=App.GMAIL)
return request.redirectUrl
async def process_email(self, thread_id: str, email_content: str, sender_email: str):
prompt = f"""Analyze this email and create an appropriate reply:
Thread ID: {thread_id}
Sender: {sender_email}
Content: {email_content}
Please draft a professional response and use the appropriate Gmail tool to send it."""
response = await self.agent.achat(prompt)
return str(response) |