Spaces:
Running
Running
| # 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) |