gemini.R (version 0.17.2)

gemini.vertex: Generate text from text with Gemini Vertex API

Description

Generate text from text with Gemini Vertex API

Usage

gemini.vertex(
  prompt = NULL,
  tokens = NULL,
  temperature = 1,
  maxOutputTokens = 8192,
  topK = 40,
  topP = 0.95,
  seed = 1234,
  timeout = 60,
  labels = NULL
)

Value

A character string containing the generated text.

Arguments

prompt

A character string containing the prompt for the Gemini model.

tokens

A list containing the API URL and key from token.vertex() function.

temperature

The temperature to use. Default is 1 value should be between 0 and 2 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

maxOutputTokens

The maximum number of tokens to generate. Default is 8192 and 100 tokens correspond to roughly 60-80 words.

topK

The top-k value to use. Default is 40 value should be between 0 and 100 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

topP

The top-p value to use. Default is 0.95 value should be between 0 and 1 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

seed

The seed to use. Default is 1234 value should be integer see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

timeout

Request timeout in seconds. Default is 60.

labels

(Optional) A named list for custom metadata labels. Example: list(team = "research", env = "test").

See Also

https://ai.google.dev/docs/gemini_api_overview#text_input

Examples

if (FALSE) {
# token should be created before this. using the token.vertex() function
prompt <- "What is sachins Jersey number?"
gemini.vertex(prompt, tokens)
gemini.vertex(prompt, tokens, labels = list(team = "research", env = "test"))
}