gcva_gemini_text: Generate Text with Google Cloud Vertex AI Gemini Model

In justinjm/googleCloudVertexAIR: Google Cloud Vertex AI API Into R

Generate Text with Google Cloud Vertex AI Gemini Model

Description

This function interfaces with Google Cloud Vertex AI to generate text using the Gemini model. It allows for specifying various parameters like project ID, location ID, model ID, and more, to customize the text generation process. https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/gemini#sample_requests

Usage

gcva_gemini_text(
  projectId = gcva_project_get(),
  locationId = gcva_region_get(),
  modelId = c("gemini-1.5-flash-001", "gemini-1.5-pro-002", "gemini-1.5-pro-001",
    "gemini-1.0-pro-001", "gemini-1.0-pro-vision-001", "gemini-1.0-pro",
    "gemini-1.0-pro-001", "gemini-1.0-pro-002"),
  stream = FALSE,
  role = c("user"),
  prompt,
  data = NULL,
  mimeType = NULL,
  fileUri = NULL,
  startOffsetSeconds = NULL,
  startOffsetNanos = NULL,
  endOffsetSeconds = NULL,
  endOffsetNanos = NULL,
  functionDeclarations = NULL,
  harmCategory = c("HARM_CATEGORY_SEXUALLY_EXPLICIT", "HARM_CATEGORY_HATE_SPEECH",
    "HARM_CATEGORY_HARASSMENT", "HARM_CATEGORY_DANGEROUS_CONTENT"),
  harmThreshold = "BLOCK_ONLY_HIGH",
  candidateCount = NULL,
  temperature = NULL,
  maxOutputTokens = NULL,
  topP = NULL,
  topK = NULL,
  stopSequences = NULL
)

Arguments

projectId	The ID of the Google Cloud project. Default is retrieved using 'gcva_project_get()'.
locationId	The location ID for the AI model. Default is retrieved using 'gcva_region_get()'.
modelId	Character vector specifying the model ID
stream	Logical; whether to stream the output. ALWAYS FALSE
prompt	Character string specifying the input prompt for text generation.
harmCategory	Categories of harmful content to be filtered, with defaults set.
harmThreshold	Threshold for blocking harmful content, default is "BLOCK_ONLY_HIGH".
temperature	Controls randomness in response generation, default is 0.5.
maxOutputTokens	Maximum number of tokens that can be generated in the response. A token is approximately four characters. 100 tokens correspond to roughly 60-80 words.
topP	Controls diversity of generated responses
topK	Limits the number of high probability tokens considered for each step

Value

A response object from the Google Cloud Vertex AI.

justinjm/googleCloudVertexAIR documentation built on April 17, 2025, 5:04 p.m.