df_llm_message

This function takes a data frame and converts it into an LLMMessage object
representing a conversation history. The data frame should contain specific
columns (<code>role</code> and <code>content</code>) with each row representing a message in the
conversation.

A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'Openai', 'Groq','Mistral' and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://groq.com>, <https://mistral.ai/> and <https://ollama.com>.

Eduard Brüll

tidyllm

Tidy Integration of Large Language Models

df_llm_message function

<dl><dt>.df</dt>
<dd>A data frame with at least two rows and columns <code>role</code> and <code>content</code>.
The column <code>role</code> should contain values from "user", "assistant", or "system",
and <code>content</code> should be of type character.</dd></dl>

Arguments

Convert a Data Frame to an LLMMessage Object — df_llm_message

<dl>

<dt>.df</dt>
<dd>A data frame with at least two rows and columns <code>role</code> and <code>content</code>.
The column <code>role</code> should contain values from "user", "assistant", or "system",
and <code>content</code> should be of type character.</dd>

</dl>

df_llm_message: Convert a Data Frame to an LLMMessage Object

Description

Usage

Value

Arguments