Description
This plugin by Zactonz Technologies provides Ollama integration for the WordPress AI Client. It lets WordPress sites use large language models running locally, on a remote self-hosted Ollama instance, or on Ollama Cloud for text and image generation and other AI capabilities.
Disclaimer: Zactonz AI Connector: Ollama is developed by Zactonz Technologies. Ollama is a third-party project. This plugin is not affiliated with, endorsed by, or sponsored by Ollama.
Ollama exposes an OpenAI-compatible API, and this connector uses that API to communicate with any model you have pulled into Ollama (Llama, Mistral, Gemma, Phi, and many more).
Features:
- Text generation with any Ollama model
- Image generation with supported models
- Automatic model discovery from your Ollama instance
- Function calling support
- Structured output (JSON mode) support
- Connector integration for Settings > Connectors with an Ollama Cloud or self-hosted connection switch
- Separate saved API keys for Ollama Cloud and protected self-hosted endpoints
- Self-hosted host URL and port controls, default model selection, thinking mode, and model discovery from the selected endpoint
- Admin text request timeout for slow local or thinking responses
- Works without an API key for local instances
Requirements:
- PHP 7.4 or higher
- WordPress 7.0 or higher
- Ollama running locally or on a remote server (like Ollama Cloud)
Installation
- Upload the plugin files to
/wp-content/plugins/zactonz-ai-provider-ollama/. - Activate the plugin through the ‘Plugins’ menu in WordPress.
- Go to Settings > Connectors to choose Ollama Cloud or a self-hosted Ollama connection.
- Add the required Ollama Cloud API key, or save the self-hosted host URL, port, and optional self-hosted API key.
- Go to Settings > Ollama to review available models and choose a default model, thinking mode, and text request timeout.
FAQ
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How do I install Ollama?
-
Visit ollama.com to download and install Ollama for your platform. Once installed, pull a model (example
ollama pull llama3.2) and the connector will automatically discover it. -
Do I need an API key?
-
Ollama Cloud requires a valid API key in Settings > Connectors or Settings > Ollama.
Self-hosted Ollama does not need an API key by default. If your self-hosted endpoint is protected, enter the optional self-hosted API key. Cloud and self-hosted keys are stored separately in Zactonz-owned options and are applied to Ollama provider requests for the active connection mode.
An
OLLAMA_API_KEYenvironment variable or PHP constant can also be used and takes priority over saved admin keys. -
How do I change the Ollama host URL?
-
By default, the connector uses
http://localhost:11434. You can change this in two ways:- Set the
OLLAMA_HOSTenvironment variable (takes precedence). - Choose Self-hosted on Settings > Connectors or Settings > Ollama, then enter your host URL or IP and port.
- Set the
-
Is there a JavaScript build step?
-
No. The admin JavaScript files included with this plugin are human-readable source files maintained directly in the plugin. No minification, bundling, npm install, or build command is required to reproduce them.
-
Where is the source code for the admin assets?
-
All PHP, JavaScript, CSS, and SVG source files are included directly in this plugin package. The files in
admin/are maintained as human-readable source files and are not generated from a separate build process.
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Contributors & Developers
“Zactonz AI Connector: Ollama” is open source software. The following people have contributed to this plugin.
Contributors
Translate “Zactonz AI Connector: Ollama” into your language.
Interested in development?
Browse the code, check out the SVN repository, or subscribe to the development log by RSS.
Changelog
1.0.0 – 2026-05-22
- Zactonz release with Settings > Connectors recognition, Ollama Cloud and self-hosted modes, separate Cloud and self-hosted API credentials, provider logo, and live connected-status integration.
- Host URL or IP and port controls with model discovery from the configured Ollama instance.
- Default-model thinking mode and a longer configurable text request timeout for local Ollama responses.
- Text generation, structured output, function calling, vision-aware model metadata, and image generation for compatible models.