View source: R/answer_as_category.R
answer_as_category | R Documentation |
Make LLM answer as a category
answer_as_category(prompt, categories, descriptions = NULL)
prompt |
A single string or a |
categories |
A character vector of category names. Must not be empty and must not contain duplicates |
descriptions |
An optional character vector of descriptions,
corresponding to each category. If provided, its length must match
the length of |
For multiple categories, see answer_as_multi_category()
.
A tidyprompt()
with an added prompt_wrap()
which
will ensure that the LLM response is the most fitting category of a text as
a character vector of length one
Other pre_built_prompt_wraps:
add_text()
,
answer_as_boolean()
,
answer_as_integer()
,
answer_as_json()
,
answer_as_list()
,
answer_as_multi_category()
,
answer_as_named_list()
,
answer_as_regex_match()
,
answer_as_text()
,
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_integer()
,
answer_as_json()
,
answer_as_list()
,
answer_as_multi_category()
,
answer_as_named_list()
,
answer_as_regex_match()
,
answer_as_text()
## Not run:
"It is sunny, that makes me happy." |>
answer_as_category(categories = c("environment", "weather", "work")) |>
send_prompt()
# --- Sending request to LLM provider (llama3.1:8b): ---
# You need to categorize a text.
#
# Text:
# 'It is sunny, that makes me happy.'
#
# Possible categories:
# 1. environment
# 2. weather
# 3. work
#
# Respond with the number of the category that best describes the text.
# (Use no other words or characters.)
# --- Receiving response from LLM provider: ---
# 2
# [1] "weather"
## End(Not run)
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