Connects the WordPress AI Client to Ollama, LM Studio, or any AI endpoint that uses the standard chat completions API format.

10up

Fueled

AI Provider for Ollama

Ollama provider for the WordPress AI Client.

AcrossWP

AI Provider for llama.cpp

llama.cpp provider for the WordPress AI Client.

David Stone

This plugin extends the WordPress AI Client to support any AI service or server that uses the standard chat completions API format (<code>/v1/chat/completions</code> and <code>/v1/models</code> endpoints).
Supported services include:
<ul>
<li>Ollama – Run open-source models (Llama, Mistral, Gemma, etc.) locally on your own hardware.</li>
<li>LM Studio – Desktop application for local LLM inference with a one-click server.</li>
<li>OpenRouter – Unified API providing access to 100+ models from multiple providers.</li>
<li>vLLM – High-throughput inference server for production deployments.</li>
<li>LocalAI – Drop-in replacement for running models locally.</li>
<li>text-generation-webui – Popular web UI with API server mode.</li>
<li>Any compatible endpoint – Works with any server implementing the standard format.</li>
</ul>
Requirements:
<ul>
<li>WordPress 7.0+ – The AI Client SDK is included in core. This plugin works on its own without any additional dependencies.</li>
</ul>
Why it matters:
Other AI-powered plugins that use the WordPress AI Client (such as AI Experiments) can automatically discover and use any model you connect through this plugin. Configure your endpoint once and every AI feature on your site can use it.
How it works:
<ol>
<li>Install and activate the plugin.</li>
<li>Go to Settings > Connectors and configure the connector with your endpoint URL (e.g. <code>http://localhost:11434/v1</code> for Ollama).</li>
<li>Optionally provide an API key for services that require authentication.</li>
<li>The plugin registers a provider with the WordPress AI Client and dynamically discovers all available models from your endpoint.</li>
</ol>
The plugin also handles practical concerns like extended HTTP timeouts for slow local inference and non-standard port support.

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