Make LLM answer as a constrained text response
Usage
answer_as_text(
prompt,
max_words = NULL,
max_characters = NULL,
add_instruction_to_prompt = TRUE
)Arguments
- prompt
A single string or a
tidyprompt()object- max_words
(optional) Maximum number of words allowed in the response. If specified, responses exceeding this limit will fail validation
- max_characters
(optional) Maximum number of characters allowed in the response. If specified, responses exceeding this limit will fail validation
- add_instruction_to_prompt
(optional) Add instruction for replying within the constraints to the prompt text. Set to FALSE for debugging if extractions/validations are working as expected (without instruction the answer should fail the validation function, initiating a retry)
Value
A tidyprompt() with an added prompt_wrap() which
will ensure that the LLM response conforms to the specified constraints
See also
Other pre_built_prompt_wraps:
add_text(),
answer_as_boolean(),
answer_as_category(),
answer_as_integer(),
answer_as_json(),
answer_as_list(),
answer_as_multi_category(),
answer_as_named_list(),
answer_as_regex_match(),
answer_by_chain_of_thought(),
answer_by_react(),
answer_using_r(),
answer_using_sql(),
answer_using_tools(),
prompt_wrap(),
quit_if(),
set_system_prompt()
Other answer_as_prompt_wraps:
answer_as_boolean(),
answer_as_category(),
answer_as_integer(),
answer_as_json(),
answer_as_list(),
answer_as_multi_category(),
answer_as_named_list(),
answer_as_regex_match()
Examples
if (FALSE) { # \dontrun{
"What is a large language model?" |>
answer_as_text(max_words = 10) |>
send_prompt()
# --- Sending request to LLM provider (llama3.1:8b): ---
# What is a large language model?
#
# You must provide a text response. The response must be at most 10 words.
# --- Receiving response from LLM provider: ---
# A type of AI that processes and generates human-like text.
# [1] "A type of AI that processes and generates human-like text."
} # }