inst/examples/answer_by_react.R

In tidyprompt: Prompt Large Language Models and Enhance Their Functionality

\dontrun{
  "What is 5 + 5?" |>
    answer_by_react() |>
    answer_as_integer() |>
    send_prompt()
  # --- Sending request to LLM provider (llama3.1:8b): ---
  # You are given a user's prompt.
  # To answer the user's prompt, you need to think step by step,
  # take an action if needed, and then return a final answer.
  #
  # ----- START OF USER'S PROMPT -----
  # What is 5 + 5?
  #
  # You must answer with only an integer (use no other characters).
  # ----- END OF USER'S PROMPT -----
  #
  # Use the following structure:
  #   Thought: <describe your thought process>
  #   Action: <if needed, describe the action you take (e.g., look up information)>
  #   Observation: <describe the result or observation from the action>
  # (Repeat Thought -> Action -> Observation as necessary)
  #
  # When you are done, you must type:
  #   FINISH[<put here your final answer to the user's prompt>]
  #
  # Ensure your final answer aligns with your reasoning and observations.
  # --- Receiving response from LLM provider: ---
  # Thought: The problem is asking for the sum of two numbers, 5 and 5.
  #
  # Action: None needed, as this is a simple arithmetic operation that can be performed mentally.
  #
  # Observation: I can easily add these two numbers together in my mind to get the result.
  #
  # Thought: To find the sum, I will simply add the two numbers together: 5 + 5 = ?
  #
  # Action: Perform the addition.
  #
  # Observation: The result of adding 5 and 5 is 10.
  #
  # FINISH[10]
  # [1] 10
}