mistral_chat: Send LLMMessage to Mistral API
In tidyllm: Tidy Integration of Large Language Models

mistral_chat

R Documentation

Send LLMMessage to Mistral API

Description

Send LLMMessage to Mistral API

Usage

mistral_chat(
  .llm,
  .model = "mistral-large-latest",
  .frequency_penalty = NULL,
  .logit_bias = NULL,
  .presence_penalty = NULL,
  .seed = NULL,
  .stop = NULL,
  .stream = FALSE,
  .temperature = 0.7,
  .top_p = 1,
  .min_tokens = NULL,
  .max_tokens = NULL,
  .json_schema = NULL,
  .safe_prompt = FALSE,
  .timeout = 120,
  .max_tries = 3,
  .dry_run = FALSE,
  .verbose = FALSE,
  .tools = NULL,
  .tool_choice = NULL
)

Arguments

`.llm`	An `LLMMessage` object.
`.model`	The model identifier to use (default: `"mistral-large-latest"`).
`.frequency_penalty`	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency.
`.logit_bias`	A named list modifying the likelihood of specified tokens appearing in the completion.
`.presence_penalty`	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far.
`.seed`	If specified, the system will make a best effort to sample deterministically.
`.stop`	Up to 4 sequences where the API will stop generating further tokens.
`.stream`	If set to TRUE, the answer will be streamed to console as it comes (default: FALSE).
`.temperature`	What sampling temperature to use, between 0 and 2. Higher values make the output more random.
`.top_p`	An alternative to sampling with temperature, called nucleus sampling.
`.min_tokens`	The minimum number of tokens to generate in the completion. Must be `⁠>= 0⁠` (optional).
`.max_tokens`	An upper bound for the number of tokens that can be generated for a completion.
`.json_schema`	A JSON schema object provided by tidyllm schema or ellmer schemata.
`.safe_prompt`	Whether to inject a safety prompt before all conversations (default: `FALSE`).
`.timeout`	When should our connection time out in seconds (default: `120`).
`.max_tries`	Maximum retries to peform request
`.dry_run`	If `TRUE`, perform a dry run and return the request object (default: `FALSE`).
`.verbose`	Should additional information be shown after the API call? (default: `FALSE`)
`.tools`	Either a single TOOL object or a list of TOOL objects representing the available functions for tool calls.
`.tool_choice`	A character string specifying the tool-calling behavior; valid values are "none", "auto", or "required".