get_ai_story: Ask an LLM to tell the story of the decorated outputs

In autoslider.core: Slide Automation for Tables, Listings and Figures

Ask an LLM to tell the story of the decorated outputs

Description

Sends the deck's tables to the chosen LLM provider and returns a structured narrative: a 'summary' section (for the front of the deck) and a 'conclusions' section (for the end). Each section is a list of slides, and each slide has a 'layout', a 'title' and a character vector of 'bullets'.

Usage

get_ai_story(
  outputs,
  allowed_layouts,
  platform = "deepseek",
  base_url = "https://api.deepseek.com",
  api_key = get_deepseek_key(),
  model = "deepseek-chat",
  max_slides = 4L
)

Arguments

outputs	A named 'list' of decorated outputs (see [decorate_outputs()]).
allowed_layouts	Character vector of permitted layouts. Any layout the model returns outside this set is clamped to '"Title and Content"'.
platform, base_url, api_key, model	Passed to [get_ellmer_chat()] to build the chat connection.
max_slides	Integer cap on slides per section.

Value

A 'list' with two elements, 'summary' and 'conclusions', each a list of slides ('list(layout, title, bullets)').

autoslider.core documentation built on Sept. 29, 2026, 5:08 p.m.