chat_cortex: Create a chatbot that speaks to the Snowflake Cortex Analyst

In ellmer: Chat with Large Language Models

Create a chatbot that speaks to the Snowflake Cortex Analyst

Description

chat_cortex() was renamed to chat_cortex_analyst() to distinguish it from the more general-purpose Snowflake Cortex chat function, chat_snowflake().

Usage

chat_cortex(
  account = snowflake_account(),
  credentials = NULL,
  model_spec = NULL,
  model_file = NULL,
  api_args = list(),
  echo = c("none", "text", "all")
)

Arguments

account	A Snowflake account identifier, e.g. "testorg-test_account". Defaults to the value of the SNOWFLAKE_ACCOUNT environment variable.
credentials	A list of authentication headers to pass into httr2::req_headers(), a function that returns them when called, or NULL, the default, to use ambient credentials.
model_spec	A semantic model specification, or NULL when using model_file instead.
model_file	Path to a semantic model file stored in a Snowflake Stage, or NULL when using model_spec instead.
api_args	Named list of arbitrary extra arguments appended to the body of every chat API call.
echo	One of the following options: none: don't emit any output (default when running in a function). text: echo text output as it streams in (default when running at the console). all: echo all input and output. Note this only affects the chat() method.

ellmer documentation built on April 4, 2025, 3:53 a.m.