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

In gemini.R: Interface for 'Google Gemini' API

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
)

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

Value

A character string containing the generated text.

See Also

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

Examples

## Not run: 
# token should be created before this. using the token.vertex() function
prompt <- "What is sachins Jersey number?"
gemini.vertex(prompt, tokens)

## End(Not run)

gemini.R documentation built on April 11, 2025, 6:11 p.m.