cache_tool

Wrap a tool with caching capabilities using the <code>memoise</code> package.

A production-grade AI toolkit for R featuring a layered
architecture (Specification, Utilities, Providers, Core), request
interception support, robust error handling with exponential retry
delays, support for multiple AI model providers ('OpenAI',
'Anthropic', etc.), local small language model inference,
distributed 'MCP' ecosystem, multi-agent orchestration, progressive
knowledge loading through skills, and a global skill store for
sharing AI capabilities.

Yonghe Xia

aisdk

Unified Interface for AI Model Providers

cache_tool function

<dl><dt>tool</dt>
<dd>The Tool object to cache.</dd>
<dt>cache</dt>
<dd>An optional memoise cache configuration (e.g., cache_memory() or cache_filesystem()).
Defaults to <code><a href="https://memoise.r-lib.org/reference/cache_memory.html">memoise::cache_memory()</a></code>.</dd></dl>

Arguments

Cache Tool — cache_tool

<dl>

<dt>tool</dt>
<dd>The Tool object to cache.</dd>


<dt>cache</dt>
<dd>An optional memoise cache configuration (e.g., cache_memory() or cache_filesystem()).
Defaults to <code><a href='https://memoise.r-lib.org/reference/cache_memory.html'>memoise::cache_memory()</a></code>.</dd>

</dl>

cache_tool: Cache Tool

Description

Usage

Value

Arguments