LLM to Braze is a Python application that integrates OpenAI's Large Language Model (LLM) with the Braze customer engagement platform to generate personalized email content for individual users based on their Braze profile data.

• Retrieves user data from Braze using the Braze User Export API
• Utilizes OpenAI's LLM to generate personalized email content based on user data
• Sends personalized emails to users using the Braze Messaging API
• Supports the use of email templates with editable sections for personalized content

• Python 3.x
• OpenAI API credentials
• Braze API credentials

1. Clone the repository: git clone https://github.com/your-username/llm-to-braze.git Copy code
2. Install the required dependencies: pip install -r requirements.txt Copy code
3. Set up your API credentials:

• Replace "your_openai_api_key" with your actual OpenAI API key in the code.
• Replace "your_braze_api_key" with your actual Braze API key in the code.
• Replace "your_app_id" with your actual Braze app ID in the code.

1. Prepare your email template:

• Define your email template in the email_template variable in the code.
• Use the <LLM Editable> tag to indicate the portion of the email that should be personalized by the LLM.

2. Specify the user IDs:

• Update the user_ids list in the main function with the desired user IDs for which you want to generate personalized emails.