This update introduces a SemanticCache that leverages cosine similarity over VectorStores for more intelligent response caching compared to traditional exact matching. We also rolled out a modular assembleContext strategy to streamline how retrieval results, token budgets, and system instructions are prepared before agent loops. These changes enhance both performance and RAG accuracy by ensuring context is efficiently managed and cached based on meaningful semantic intent.