fetch_job

<code>fetch_job()</code> dispatches to <code>fetch_batch()</code> for batch objects or
<code>perplexity_fetch_research()</code> / <code>openai_fetch_research()</code> for <code>tidyllm_research_job</code> objects.

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>An object with a <code>batch_id</code> attribute (from <code>send_batch()</code>) or
a <code>tidyllm_research_job</code> (from <code>deep_research(.background = TRUE)</code>).</dd>
<dt>.provider</dt>
<dd>A provider function (required for batch jobs, ignored for research jobs).</dd>
<dt>...</dt>
<dd>Additional arguments passed to the underlying function.</dd></dl>

Arguments

Fetch Results from a Batch or Research Job — fetch_job

<dl>

<dt>.job</dt>
<dd>An object with a <code>batch_id</code> attribute (from <code>send_batch()</code>) or
a <code>tidyllm_research_job</code> (from <code>deep_research(.background = TRUE)</code>).</dd>


<dt>.provider</dt>
<dd>A provider function (required for batch jobs, ignored for research jobs).</dd>


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

</dl>

fetch_job: Fetch Results from a Batch or Research Job

Description

Usage

Value

Arguments