r/OpenWebUI

After updating OpenWebUI to version 0.11, my OpenWebUI instance gradually consumes all available RAM over the course of 1–2 days, eventually causing the server to crash. Is anyone else experiencing this, or does anyone have an idea what might be causing it? It was working fine before the update.

I have seen here couple of posts regarding exporting LLM response to Office Word. They are useful, however I am looking for tools/ plug-ins that can directly edit Word Docs, similar to ChatGPT or Claude?

https://preview.redd.it/gwp8bro663kh1.png?width=1594&format=png&auto=webp&s=8674ef61749df59a8df60847d7bb7189f157dd62

i dont know, i just feel comfort to work with openwebui, not vscode, not claudecode, not antigravity.
anyone feel the same?

disclaimer:
model qwen3.5 35B A3B IQ4_NL
rx6700xt 12GB
ram 16GB

I'm currently experimenting with setting up a chatbot assistant on a webpage, I got something working with OpenWebUI but i'm not convinced my approach is the right one, so I wanted to see how you have/would approach it.

At the moment the way it's setup is:

• OpenWebUI contains a custom model (based on 5.6 luna), with a knowledge base, a system prompt and some native python tools to do API calls to the backend. Access to OpenWebUI is done using an API key.
• A nodejs backend proxy the calls to openwebui, holding privately the openwebui api key, and adding to the metadata variables some information like the remote endpoint for the API calls and passing the user JWT token to be used by the python tools for the API calls.
• The frontend uses assistant-ui connected to the nodejs backend

All of this works reasonably well but

• it's quite slow (probably need to check my tool calls, and kb use)
• token streaming doesn't work, I get the entire response in one go with no thought or tool calls info (maybe not a deal breaker but because it's slow it feels like the wait is long). (codex is telling me that's because openwebui provide this over socket.io but socket.io auth only works with JWT not api token?)
• The user JWT passing to openwebui for tool call isn't ideal

So I wanted to check what you thought of this approach? The benefits is that it's relatively easy to setup, I can use openwebui to manage most things and I don't have to reinvent the wheel. AFAIK the other approach is to manually code the kb + tools in a dedicated backend; I would probably get more flexibility and performance but with significantly more overhead.

Any advice? How have you approached it?

Thanks!

With Qwen3.8-27B out, there has been a lot of discussion about the reasoning_effort settings. For those who use Open WebUI, I thought this might be helpful for anyone interested. I made a little plugin for that gives you a toggle and drop-down to set the reasoning level for each message:

https://openwebui.com/posts/reasoning_effort_selector_ee572967

I hope others find this useful!

Hi,

I'm trying to set up an Open WebUI Computer instance locally and connect it to an ollama instance running on my local web, but I somehow fail to find the correct api endpoint, even though Open WebUI itself is running (on another server) successfully.

Open WebUI uses the connection http://ai.domain.local:11434/. From the cptr documentation I get that I have to use something like http://ai.domain.local:11434/v1, but that gives me an error 404.

Other threads in this sub suggest using http://ai.domain.local:11434/api/v1, and while http://ai.domain.local:11434/api/tags works without problems, http://ai.domain.local:11434/api/v1 also gets me an error 404. Same with http://ai.domain.local:11434/api.

What am I missing? Do I need to enable v1 specifically in ollama?

Thanks a lot!

I am trying to configure Open-WebUI such that my agents -- any of them -- remember any details from the current conversation. For example, I tell the agent what my favorite color is and it'll respond with something along the lines of "Got it!" In the next prompt and within the same context, I ask what my favorite color is and it'll have no idea but will save it for next time.

This is particularly annoying, as you can imagine, when I try to solve a programming task for code that it created and it has no idea what I'm talking about.

Running open-webui version 0.11, ollama 0.31.2, and have tried this with gemini-3-flash-preview, qwen3, gemma4, and ornith.

Thanks for any help!

Setup

Ryzen 9950X / 128 GB of RAM / RTX 5090 32 GB / 3.6 TB of NVMe, running Ubuntu.

The model is Qwen3.6-27B, quantized to int4, with a 32k context. vLLM, with reasoning and vision enabled. A single model does it all: chat, plan analysis, code generation, and tool invocation.

Architecture

Open WebUI is the single point of entry. Users only see this

vLLM performs inference using continuous batching—this is what allows it to process multiple requests simultaneously without anyone having to wait. Open Terminal serves as a sandbox: it executes the generated Python code, produces Word, Excel, PowerPoint, or PDF files, and, most importantly, reviews what it has just created to correct its own errors before returning the file.

RAGFlow handles document search. At the same time, an SQLite database stores numerical values to improve search speed.

For now, this is my setup,

I’d like to significantly improve the ability to generate PDF, Excel, and Word files,

Do you have any ideas? Open Terminal is good, but it lacks features like opening windows (open the excel file / see with vision and adapt) and others. I’m just getting started in the world of agents and related tools,

Any similar setups or needs?

I am trying out Open WebUI desktop + Ollama +qwen2.5:3b ... I am trying to use it a companion journal. Where I talk things through about my day and other personal thoughts and it is non judgemental. Not replacing medical advise. Just as if I was talking to a long time friend. I have it running but how do I set it up to work for me? I have tried going into Admin settings but just don't know enough to figure it out. Is there a step by step set of instructions for non tech person. Just basic terms to help me. TIA

I use Notebooklm and it is good enough. I would like to try other RAGS. I have used anythinglm and opennotebooklm and they are just not enough.

OpenWeb UI website says they have built in RAGS. She they good? What open models I should use with RAGS? I don't mind using those cheaper Chinese models if I have to pay.

I am going crazy.

Guys, creepy situation. Just discovered 2 chats in my UI that 100% i could not have initiated.

what can it be? i am thinking API keys but i never exposed those?

Any info appreciated.

Hi, what is the proper api endpoint for the openai compatible endpoint?

I am trying to set up hermes-agent and the endpoint open-webui.domain/api works as the local llm gemma4 via ollama responds, but the llm does not seem to recognize it is an agent.

OPENAI_BASE_URL=open-webui.domain/api
OPENAI_API_KEY=sk-XXX

If I use another openai compatible provider like nanogpt hermes resonds accordingly like he should as an agent and shows me his skills properly.

This is what it looks like right now when asking something:

● Hellou

Initializing agent...

╭─ ⚕ Hermes

Hello! How can I help you today? 😊

────────────────────────────────────────

● What skills do you have

────────────────────────────────────────

╭─ ⚕ Hermes

I am a highly capable language model that can assist you with a wide range of tasks, including:

* Writing and Editing: Generating creative text, writing code (in various languages), summarizing long documents, translating languages, drafting emails, or debugging existing code.

* Reasoning and Problem-Solving: Analyzing complex scenarios, following multi-step instructions, and working through logic problems.

* Knowledge Retrieval: Answering questions on nearly any topic based on the data I was trained on (up to my last knowledge cutoff).

In addition to these core AI capabilities, I have been equipped with specific external tools that allow me to interact with a simulated environment and perform specialized tasks:

1. 📚 todo (Task Management): I can help you create, manage, track, and prioritize your to-do list for our session.

2. 🖼️ vision_analyze (Image Analysis): If you provide an image (via URL or file path), I can analyze its content, describe it, extract text from it, or answer specific questions about what is depicted.

3. 🔊 text_to_speech (Audio Generation): I can convert any text into spoken audio format and give you a playable audio file.

4. 💾 write_file (File System Interaction): I can write, create, or overwrite content in specified files within our working directory, which is useful for saving code, configurations, or data structures.

Just let me know what you need help with!

⚕ gemma4:latest │ 2.05K/256K │ [░░░░░░░░░░] 1% │ 60s │ ⏲ 10s │ ✓ 0s

Ma qualcuno è riuscito a collegare qualche estensione di VS CODE alla URL Base di OpenWebUI?

Ho provato con tutte le configurazioni possibili ed immaginabili.

Ho usato diverse estensioni, che si collegano ad ollama Kma non voglio quasi ti di utilizzo), ma non a OWUI con la Api Key.

Qualcuno ci è riuscito?

Esiste una guida o un tutorial?

Le varie AI mi hanno fatto diverse soluzioni, ma nessuna ha funzionato.

PS: SO Windows, tutto dockerizzato

Hi all, I am implementing a local offline LLM (Qwen3.6 35b A3b) to analyse my splunk logs. I have confirmed the MCP works because it works fine when I use a cloud model but the moment I use a local model, it says it can't access my Splunk instance and just gives me a search to run myself.

Whats the deal? I have Function calling set to native if that changes things?

Edit: I fixed it, though not satisfactorily. Its cause my KV cache was overflowing and the LLM would just go wild without context and basically forget that it even connected to splunk mcp in the first place. I ran it with a much lighter model and started to get results

https://preview.redd.it/bzbrx2cnl4ih1.png?width=941&format=png&auto=webp&s=a37e31bdfa33ead45edd879dc56fdfd6aa35274f

I would like to use OWUI with SearXNG. But it is importantly for me that no sensible data is handed over to the search engine. What would be an ideal setup (if there is any) to make use of websearch. I would use it with DuckDuckGo.

Hi all I asked here a while back how people actually use Open WebUI. Since then I've been running it daily, and my brother more than me. He kept asking for a proper native iOS app, so I built one: Keep.

Streaming chat with full Markdown and LaTeX, Home Screen widgets, Live Activities, hands-free voice mode, offline reading, and an admin panel for users and analytics.

Right now it's just the two of us using it. I'd like a handful of early testers before a wider release happy to send TestFlight invites, comment.