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This function sets the chat history for a tidyprompt object. The chat history will also set the base prompt and system prompt (the last message of the chat history should be of role 'user' and will be used as the base prompt; the first message of the chat history may be of the role 'system' and will then be used as the system prompt).

This may be useful when one wants to change the base prompt, system prompt, and chat history of a tidyprompt object while retaining other fields like the list of prompt wraps.

Usage

set_chat_history(x, chat_history)

Arguments

x

A tidyprompt object

chat_history

A valid chat history (see chat_history())

Value

The updated tidyprompt object

Examples

prompt <- tidyprompt("Hi!")
print(prompt)
#> <tidyprompt>
#> The base prompt is not modified by prompt wraps:
#> > Hi! 
#> Use 'x$base_prompt' to show the base prompt text.
#> Use 'x$construct_prompt_text()' to get the full prompt text.
#> 

# Add to a tidyprompt using a prompt wrap:
prompt <- tidyprompt("Hi!") |>
  add_text("How are you?")
print(prompt)
#> <tidyprompt>
#> The base prompt is modified by a prompt wrap, resulting in:
#> > Hi!
#> > 
#> > How are you? 
#> Use 'x$base_prompt' to show the base prompt text.
#> Use 'x$construct_prompt_text()' to get the full prompt text.
#> Use 'get_prompt_wraps(x)' to show the prompt wraps.
#> 

# Strings can be input for prompt wraps; therefore,
#   a call to tidyprompt() is not necessary:
prompt <- "Hi" |>
  add_text("How are you?")

# Example of adding extraction & validation with a prompt_wrap():
prompt <- "Hi" |>
  add_text("What is 5 + 5?") |>
  answer_as_integer()

if (FALSE) { # \dontrun{
  # tidyprompt objects are evaluated by send_prompt(), which will
  #   handle construct the prompt text, send it to the LLM provider,
  #   and apply the extraction and validation functions from the tidyprompt object
  prompt |>
    send_prompt(llm_provider_ollama())
  # --- Sending request to LLM provider (llama3.1:8b): ---
  #   Hi
  #
  #   What is 5 + 5?
  #
  #   You must answer with only an integer (use no other characters).
  # --- Receiving response from LLM provider: ---
  #   10
  # [1] 10

  # See prompt_wrap() and send_prompt() for more details
} # }

# `tidyprompt` objects may be validated with these helpers:
is_tidyprompt(prompt) # Returns TRUE if input is a valid tidyprompt object
#> [1] TRUE

# Get base prompt text
base_prompt <- prompt$base_prompt

# Get all prompt wraps
prompt_wraps <- prompt$get_prompt_wraps()
# Alternative:
prompt_wraps <- get_prompt_wraps(prompt)

# Construct prompt text
prompt_text <- prompt$construct_prompt_text()
# Alternative:
prompt_text <- construct_prompt_text(prompt)

# Set chat history (affecting also the base prompt)
chat_history <- data.frame(
  role = c("user", "assistant", "user"),
  content = c("What is 5 + 5?", "10", "And what is 5 + 6?")
)
prompt$set_chat_history(chat_history)

# Get chat history
chat_history <- prompt$get_chat_history()