Modify a Blueprint using Natural Language — modify

Ask a Large Language Model (LLM) to modify an existing blueprint for glycomics or glycoproteomics data analysis. To use this function, you need to have a DeepSeek API key. You can get a DeepSeek API key from https://platform.deepseek.com. Then set the environment variable DEEPSEEK_API_KEY to your API key with Sys.setenv(DEEPSEEK_API_KEY = "your-api-key").

Usage

modify_blueprint(
  bp,
  description,
  qa_history = NULL,
  exp = NULL,
  group_col = "group",
  model = "deepseek-chat",
  max_retries = 3
)

Arguments

bp: A glysmith_blueprint object.
description: A description of how you want to modify the blueprint.
qa_history: Character vector of Q&A pairs from inquire_blueprint().
exp: Optional. A glyexp::experiment() object to provide more context to the LLM.
group_col: The column name of the group variable in the experiment. Default to "group".
model: Model to use. Default to "deepseek-chat".
max_retries: Maximum number of retries when the AI output is invalid. Default to 3.

Details

LLMs can be unstable. If you get an error, try again with another description. Make sure to examine the returned blueprint carefully to ensure it's what you want. This function is a companion of inquire_blueprint(). If the LLM needs required information to proceed, it may ask clarifying questions interactively and then retry with your answers.