params: Standard model parameters
In ellmer: Chat with Large Language Models

params

R Documentation

Standard model parameters

Description

This helper function makes it easier to create a list of parameters used across many models. The parameter names are automatically standardised and included in the correctly place in the API call.

Note that parameters that are not supported by a given provider will generate a warning, not an error. This allows you to use the same set of parameters across multiple providers.

Usage

params(
  temperature = NULL,
  top_p = NULL,
  top_k = NULL,
  frequency_penalty = NULL,
  presence_penalty = NULL,
  seed = NULL,
  max_tokens = NULL,
  log_probs = NULL,
  stop_sequences = NULL,
  reasoning_effort = NULL,
  reasoning_tokens = NULL,
  ...
)

Arguments

`temperature`	Temperature of the sampling distribution.
`top_p`	The cumulative probability for token selection.
`top_k`	The number of highest probability vocabulary tokens to keep.
`frequency_penalty`	Frequency penalty for generated tokens.
`presence_penalty`	Presence penalty for generated tokens.
`seed`	Seed for random number generator.
`max_tokens`	Maximum number of tokens to generate.
`log_probs`	Include the log probabilities in the output?
`stop_sequences`	A character vector of tokens to stop generation on.
`reasoning_effort`, `reasoning_tokens`	How much effort to spend thinking? `reasoning_effort` is a string, like "low", "medium", "high". `reasoning_tokens` is an integer, giving a maximum token budget. Each provider only takes one of these two parameters.
`...`	Additional named parameters to send to the provider.