Customer Context Agent

This agent fetches detailed customer profiles and context from data sources for downstream analysis. It acts as a primary data gateway, querying the Data Access Layer when it receives a customer_id and adding the matching profile to the state under the key “customer_profile”. A profile typically includes company name, industry, annual revenue, purchase history, and recent purchases.

The agent can connect to CSV files for simpler datasets or initial testing, or to PostgreSQL databases for scalable data management, with a use_postgres flag choosing the source. If a customer cannot be found, it raises a ValueError so subsequent agents know essential data is missing. It addresses fragmented and inaccessible customer data that hinders segmentation and personalized engagement, and it is built for businesses that need customer insights for marketing, sales, and service, particularly in media and entertainment.