My strategy was to have the outer LLM make a JSON object where one of the args is an instruction or question, and then pass that to the inner LLM wrapped in a template like "given the following document, <instruction>"

Works for a fair few general cases and it can get the context that ends up in the outer LLM down to a few sentences aka few tokens, meaning there's plenty of room for more reasoning and cost savings