Composable Email Agent

An AI-powered composable email agent built in Python 3 that analyzes emails and generates appropriate responses using the following agent architectures:

• Parallelization with async/await
• Prompt chaining

Prerequisites

• Python 3.7 or higher (async/await support required)
• pip3 (Python 3 package installer)

Features

• 📧 Email Analysis
  • Sentiment Analysis - Determines the emotional tone of incoming emails
  • Email Summarization - Creates concise summaries of email content
  • Response Decision Making - Intelligently decides if an email needs a response
• ✍️ Smart Response Generation
  • Writer Style Selection - Picks appropriate tone and style for replies
  • Contextual Response Generation - Creates relevant, context-aware email responses
• ⚡️ Asynchronous Processing - Parallel execution of independent tasks
• 🔌 Easy Integration - Built with the Langbase API

Get started

Let's get started with the project:

To get started with Langbase, you'll need to create a free personal account on Langbase.com and verify your email address. Done? Cool, cool!

1. Fork the following pipes on ⌘ Langbase:

   1. Email Sentiment
   2. Summarizer
   3. Email Decision Maker
   4. Pick Email Writer
   5. Email Writer

2. Download and setup the project

The following command

1. Downloads the example project folder from here
2. Renames the folder to example-composable-email-agent-python
3. Changes the directory to the project folder
4. Copies the .env.example file to .env in the project folder

npx degit LangbaseInc/langbase-examples/examples/email-agent-python example-composable-email-agent-python &&
cd example-composable-email-agent-python &&
cp .env.example .env

3. Create virtual environment:

Open a terminal and run the following commands:

# Create a virtual environment
python3 -m venv ./venv

# Activate the virtual environment
source ./venv/bin/activate

4. Install the required packages:

pip3 install python-dotenv aiohttp

5. Add the values of these environment variables to the .env file:

# Get your org or user API key that can be used to access everything with Langbase.
# https://langbase.com/docs/api-reference/api-keys
LANGBASE_API_KEY="USER_OR_ORG_API_KEY"

6. Run the email agent:

python3 agent.py

How it works

The agent uses several components in sequence:

1. Parallel Analysis: Concurrently performs sentiment analysis and email summarization using asyncio.gather()
2. Decision Making: Determines if the email requires a response
3. Style Selection: Chooses appropriate tone for the response
4. Response Generation: Creates a contextual email response

Project Structure

email-agent-python/
├── .env.example   # Environment variables example
├── .gitignore     # Git ignore
├── agent.py       # Email agent implementation
└── README.md      # Project documentation