[APP][Pro] Ollama - Use Local LLMs in your Flows

Apps
,
42

Version 1.1.16

  • Update dependencies
43

Version 1.2.0

  • NEW: Chat Widget! Chat with any Ollama model, straight from your Dashboards!

Screenshot_20260616_042619_Homey
Screenshot_20260616_042619_Homey1080×2114 172 KB

Scroll buttons were added because regular scrolling doesn’t work correctly on Dashboards for some reason.

Now available in test:

44

Version 1.2.1

  • Added support for italic text in the chat widget
45

Version 1.2.2

  • Added support for nested lists in the Markdown parser
  • Added support for strikethrough text in the Markdown parser
  • Added support for headers in the Markdown parser
  • Added support for code blocks in the Markdown parser
  • Improved italic text detection in the Markdown parser
46

Version 1.2.3

  • Update dependencies
47

Thanks for the app — works great with a local Ollama box.

One thing that would help a lot: recent models (Gemma 4, Qwen3-VL, Qwen3.5) have reasoning enabled by default. For automation use cases like “describe who’s at my front door” the reasoning tokens are pure overhead — the flow just needs one short sentence back.

Quick benchmark on my machine, same model, same prompt:

eval count total
default 85 tokens 5.6s
think: false 10 tokens 0.86s

Same answer, 6x faster. With an image attached the difference is even bigger.

Would it be possible to add "think": false as a toggle on the flow card?