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Zactonz AI Connector: Ollama

v1.1.0

Ollama connector for the WordPress AI Client. Run local, self-hosted or Ollama Cloud models for text, images, embeddings and tool calling.

Download WordPress.org Source
WordPress 7.0+PHP 7.4+Ollama (local, self-hosted or Cloud) Updated 3 Aug 2026

Installation & setup

Install the plugin#

From the dashboard, go to Plugins › Add New, search for Zactonz AI Connector: Ollama and click Install Now, then Activate. WordPress also links here directly from Settings › Connectors when it needs a connector that is not installed yet.

With WP-CLI:

wp plugin install zactonz-ai-provider-ollama --activate

To install manually, download the zip from the Download button above, upload the folder to /wp-content/plugins/zactonz-ai-provider-ollama/ and activate it from the Plugins menu.

Connect to Ollama#

  1. Go to Settings › Connectors and choose Ollama Cloud or Self-hosted.
  2. For Ollama Cloud, enter your API key.
  3. For self-hosted, enter the host URL or IP and the port (the default is http://localhost:11434). Add the optional self-hosted API key only if your endpoint is protected.
  4. Go to Settings › Ollama to review the models discovered on that endpoint, then pick a default model, a thinking mode and a text request timeout.

Cloud and self-hosted keys are stored separately and applied to requests for whichever connection mode is active.

Environment overrides#

Two settings can also come from the environment, which is useful on managed hosts and in containers:

Setting Variable Notes
Host URL OLLAMA_HOST Takes precedence over the value saved in the admin.
API key OLLAMA_API_KEY Environment variable or PHP constant; takes priority over saved admin keys.

Install Ollama itself#

If you do not have Ollama yet, download it from ollama.com and pull a model:

ollama pull llama3.2

The connector discovers pulled models automatically the next time you open Settings › Ollama.

Check the connection#

Tools › Site Health includes a connectivity test for the configured Ollama endpoint, and Settings › Ollama shows a redacted diagnostics panel with endpoint status, latency, model availability, version, embeddings and streaming readiness.