View source: R/answer_as_key_value.R
answer_as_key_value | R Documentation |
This function is similar to answer_as_list()
but instead of returning
a list of items, it instructs the LLM to return a list of key-value pairs.
answer_as_key_value(
prompt,
key_name = "key",
value_name = "value",
pair_explanation = NULL,
n_unique_items = NULL,
list_mode = c("bullet", "comma")
)
prompt |
A single string or a |
key_name |
(optional) A name or placeholder describing the "key" part of each pair |
value_name |
(optional) A name or placeholder describing the "value" part of each pair |
pair_explanation |
(optional) Additional explanation of what a pair should be. It should be a single string. It will be appended after the list instruction. |
n_unique_items |
(optional) Number of unique key-value pairs required in the list |
list_mode |
(optional) Mode of the list: "bullet" or "comma".
|
A tidyprompt()
with an added prompt_wrap()
which
will ensure that the LLM response is a list of key-value pairs.
## Not run:
"What are a few capital cities around the world?" |>
answer_as_key_value(
key_name = "country",
value_name = "capital"
) |>
send_prompt()
# --- Sending request to LLM provider (llama3.1:8b): ---
# What are a few capital cities around the world?
#
# Respond with a list of key-value pairs, like so:
# -- <<country 1>>: <<capital 1>>
# -- <<country 2>>: <<capital 2>>
# etc.
# --- Receiving response from LLM provider: ---
# Here are a few:
# -- Australia: Canberra
# -- France: Paris
# -- United States: Washington D.C.
# -- Japan: Tokyo
# -- China: Beijing
# $Australia
# [1] "Canberra"
#
# $France
# [1] "Paris"
#
# $`United States`
# [1] "Washington D.C."
#
# $Japan
# [1] "Tokyo"
#
# $China
# [1] "Beijing"
## End(Not run)
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