Zactonz AI Connector: Ollama
v1.1.0Ollama connector for the WordPress AI Client. Run local, self-hosted or Ollama Cloud models for text, images, embeddings and tool calling.
Changelog
1.1.0 — 3 August 2026#
- Added native Ollama single and batch embedding generation for the WordPress 7.1 / PHP AI Client 1.4 embedding API.
- Reworked discovery to advertise only capabilities reported by Ollama, with conservative fallback behaviour when model details are unavailable.
- Added separate default selectors for text, vision, image, embedding and tool-calling models.
- Added model-default, disabled, low, medium and high thinking preferences, with automatic migration from the previous enabled setting.
- Added a redacted diagnostics panel covering endpoint status, latency, model availability, version, embeddings and streaming readiness.
- Added a WordPress Site Health connectivity test and redacted debug-information section.
- Added stable provider-level SSE streaming with content, thinking, usage, tool-call aggregation, callback-error handling and cancellation with partial results.
- Improved WordPress.org connector-search metadata for admins coming from Settings › Connectors.
- Fixed Connector-screen saves so connection changes no longer discard model and thinking preferences.
- Fixed Ollama Cloud capability reporting so structured output is not advertised where it is unsupported.
- Added automated coverage for discovery, settings migration and preservation, embeddings, diagnostics, Site Health, streaming, cancellation and streamed tool calls.
1.0.0 — 22 May 2026#
- First 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.