Build an Email Agent with Llama 3

AgentsIntegrations

Build an Email Agent with Llama 3In this blog post, we explore how to build an email agent powered by Llama 3.1 8B running locally via Ollama.Read more

Introduction

In this blog post, we explore how to build an email agent powered by Llama 3.1 8B running locally via Ollama. The goal is to create a basic agent with custom tool calling natively supported in Llama 3.1 and eventually cover all components of a production-ready agent app. We'll use Gmail as an example, but any email client API can be used instead.

Overview

The email agent is built using a modular architecture, with the following components:

Llama 3.1 8B model running locally via Ollama
Gmail API for email interactions
Python application for integrating the Llama model with the Gmail API

Installing required packages

To start, create a Conda or virtual environment:

bash
conda create -n emailagent python=3.10
conda activate emailagent

bash
python -m venv emailagent
source emailagent/bin/activate # on Linux, macOS:
source emailagent\Scripts\activate # on Windows

Then, install the required Python libraries:

bash
git clone https://github.com/meta-llama/llama-cookbook
cd llama-cookbook/end-to-end-use-cases/email_agent
pip install -r requirements.txt

Enabling Gmail API

To use the Gmail API, you need to enable it in the Google Cloud Console and create credentials for your application. Follow these steps:

Create a project in the Google Cloud Console.
Navigate to the API Library page and search for the Gmail API.
Click on the result, then click on the "Enable" button.
Create credentials for your application by clicking on the "Create Credentials" button.
Select "OAuth client ID" and choose "Other".
Enter a name for your client ID and your authorized redirect URI.
Download the JSON key file and rename it to credentials.json.

Running the email agent

To run the email agent, copy the credentials.json file to the email_agent folder and run:

bash
python main.py --email

The first time you run it, you'll be prompted to authorize the application. Follow the instructions to complete the authorization process.

Technical Implementation Details

The email agent uses a combination of natural language processing (NLP) and API integration. The Llama 3.1 8B model processes user input and generates responses. The Gmail API is used to interact with the user's email account.

The Python application integrates the Llama model with the Gmail API using the following steps:

User input is processed by the Llama model to determine the intent.
Based on the intent, the application calls the relevant Gmail API endpoint to retrieve or send email data.
The email data is then processed by the Llama model to generate a response.
The response is returned to the user.

Currently Implemented Features

The email agent currently supports the following features:

Search for emails and attachments
Get email detail
Reply to a specific email
Forward an email
Get summary of a PDF attachment
Draft and send an email

Conclusion

In this post, we explored how to build an email agent powered by Llama 3.1 8B running locally via Ollama. We covered the architectural overview, installing required packages, enabling the Gmail API, running the email agent, and technical implementation details. The email agent currently supports several features, and we plan to continue developing it to cover all components of a production-ready agent app.

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