Tecton is a platform that enables production-grade data pipelines through a declarative framework, making it easy to define ongoing streaming, batch, and real-time transformation of raw data into rich features that describe the current state of any business entity. Tecton's agent service provides up-to-date context for generative AI applications by building on-demand prompts enriched with feature data and delivering access to features as LLM tools. The agent service allows users to inject data in real-time into their LLM's system prompts, enabling personalized and timely responses. This is achieved through the use of enriched prompts, which allow users to include up-to-date information related to the session context, and features as tools, which provide additional data retrieval capabilities to the LLM so that it can answer specific questions related to the session context. Tecton integrates seamlessly with LangChain and LlamaIndex frameworks, enabling users to create more personalized, relevant, and up-to-date AI interactions. By leveraging Tecton's feature pipeline integration with LLMs, developers can significantly enhance their LLM applications, such as recommendation systems and customer support chatbots, by providing real-time context enrichment and data retrieval capabilities.