fetch_job

<code>fetch_job()</code> collects what <code>check_job()</code> reports on: the messages of a
finished batch, the report of a background research job, or the <code>LLMMessage</code>
of a chat from <code>send_chat()</code>. On a chat it waits for the reply if it has not
arrived yet.

A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'OpenAI', 'Gemini', 'Mistral', and local models via 'Ollama' into R workflows. The package supports text, image, audio, video, and document interactions; a unified media interface for attaching inline files or uploading to provider file stores; batch request APIs for cost-efficient large-scale processing; and a pipeline-oriented interface for seamless integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.

Eduard Brüll

tidyllm

Tidy Integration of Large Language Models

Jia Zhang

fetch_job function

<dl><dt>.job</dt>
<dd>A <code>tidyllm_chat_job</code>, a <code>tidyllm_research_job</code>, or a batch object
from <code>send_batch()</code>.</dd>
<dt>.provider</dt>
<dd>A provider function; required for batch jobs and ignored by
the others.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the underlying function.</dd></dl>

Arguments

Fetch the Results of a Job — fetch_job

<dl>

<dt>.job</dt>
<dd>A <code>tidyllm_chat_job</code>, a <code>tidyllm_research_job</code>, or a batch object
from <code>send_batch()</code>.</dd>


<dt>.provider</dt>
<dd>A provider function; required for batch jobs and ignored by
the others.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the underlying function.</dd>

</dl>

fetch_job: Fetch the Results of a Job

Description

Usage

Value

Arguments