Run a WordPress chatbot on a local Ollama instance
SleekAI talks to Ollama’s OpenAI-compatible endpoint on http://localhost:11434/v1 or whatever LAN address you expose, so a chatbot grounded in your WordPress content can run on the same machine, a homelab box, or a private cloud VM. Bring your own model and key.
Ollama is the easiest way to host a chatbot locally
Ollama bundles model download, quantization, and inference into a single binary that runs on a Mac mini, a Linux box, or a small Hetzner VM. Pull llama3.1:70b, qwen2.5:32b, or mistral-nemo with one command and it exposes an OpenAI-compatible API on port 11434. That is exactly the shape SleekAI’s provider settings expect.
SleekAI plugs straight into that endpoint.
Because the request never leaves your network, visitor questions, system prompts, and the documents you inject into the context all stay inside the perimeter. The combination is what a lot of self-hosted WordPress teams have been quietly waiting for: a real chat experience that does not require a third-party API contract.
Features
Localhost-friendly
The provider field accepts any HTTPS or HTTP URL that speaks the OpenAI chat schema.
Mix and match per bot
Run a small fast Ollama model for marketing chat and a big cloud model for the support bot, all from the same WordPress install. Multibot scopes each bot to a post type or role.
Answers from your data
Map post titles, content, post meta, taxonomies or a WP_Query into the instruction, and the bot answers from what your site actually publishes.
Where Ollama plus SleekAI fits best
Privacy-first sites
Membership, health, or legal sites where customer questions cannot leave the perimeter. Ollama on a single VM answers grounded in WordPress content with zero outbound API calls.
Edge and offline
Conferences, ships, factories, and rural deployments. Pull the model once over a connection and keep answering questions from the on-site WordPress install while offline.
Predictable cost
Trade per-token pricing for a fixed monthly VM bill. High-volume documentation bots that would burn through OpenAI credits often run cheaper on a single GPU box with Ollama.
Run SleekAI on Ollama in four steps
Install Ollama and pull a model
Install Ollama on the box that will host the model, then run ollama pull llama3.1:70b-instruct or whichever tag matches your hardware.
Pick a model
Store your OpenAI, Anthropic, Google or OpenRouter key once in the shared AI settings, or add a compatible endpoint, and choose the chatbot’s model.
Map your data
Choose the posts, fields, taxonomies or users the bot should know and reference them in the instruction.
Set display conditions
Decide which pages, post types, roles or logged-in states show the chatbot.
Why Ollama plus WordPress is the new homelab default
A year ago, hosting your own chatbot meant a Python notebook, a CUDA install, and a long weekend. Ollama collapsed all of that into a single binary that downloads quantized weights and serves an OpenAI-compatible API on port 11434. That one decision made local inference accessible to anyone who can run brew install or apt install.
The bottleneck moved from infrastructure to integration, and the integration into WordPress is exactly where most marketing sites and membership communities live. For privacy-conscious teams, edge deployments, and anyone tired of metered token pricing, that combination turns the WordPress site into a perfectly capable AI surface without giving up control of the data or the bill.
Frequently asked questions
Do I need a paid Ollama account?
No. Ollama is free open-source software. Install it on macOS, Linux, or Windows, run ollama pull llama3.1:70b, and the OpenAI-compatible server is available on port 11434 with no signup.
Can WordPress on a different host reach my Ollama box?
Yes. Set OLLAMA_HOST=0.0.0.0:11434 on the Ollama machine so it listens on all interfaces, then put it behind a Cloudflare Tunnel, Tailscale, or a Wireguard mesh. Point SleekAI at the resulting URL with a bearer token enforced at the tunnel layer.
Does Ollama support streaming responses?
Yes, and SleekAI uses it. Replies stream into the chat widget token by token through the same Server-Sent Events flow used for OpenAI, so the experience feels identical to a cloud-hosted bot once the first token arrives.
Can I run multiple Ollama models on one WordPress install?
Multibot lets each chatbot pick its own provider, model, and prompt. You can have one bot on llama3.1:70b for docs and another on qwen2.5:7b for the homepage, both pointing at the same Ollama server with different tags.
How fast is Ollama compared to OpenAI?
On a recent Mac with M2 Max or an Nvidia RTX 4090, an 8B model answers in well under a second to first token, comparable to gpt-4o-mini. Bigger 70B quantized models add a few seconds of latency but still feel responsive in a chat UI.
Does this work behind a reverse proxy on HTTPS?
Yes. The OpenAI-compatible path stays the same regardless of the proxy in front of it.
Which AI providers does it support?
OpenAI, Anthropic, Google and OpenRouter, plus custom OpenAI-compatible endpoints. You bring your own API key and the provider bills you directly.
Where does the chatbot get its answers?
From the WordPress data you map into its instruction: post titles and content, post meta, ACF and Meta Box fields, taxonomies, terms, users and user meta, or a WP_Query. Values resolve on every request.
Pricing
Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.
…or get the Bundle Deal
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The Bundle (unlimited sites)
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What’s included
SleekAI
SleekByte
SleekMotion
SleekPixel
SleekView
SleekRank
SleekTrack