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OpenWebUI

10 Topics 80 Posts
  • OpenWebUI - Package Updates

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    nebulonN

    [0.11.1]

    Update OpenWebUI to 0.1.121 Full changelog Translation Issues: Addressed various translation discrepancies. LiteLLM Security Fix: Updated LiteLLM version to resolve a security vulnerability. HTML Tag Display: Rectified the issue where the '< br >' tag wasn't displaying correctly. WebSocket Connection: Resolved the failure of WebSocket connection under HTTPS security for ComfyUI server. FileReader Optimization: Implemented FileReader initialization per image in multi-file drag & drop to ensure reusability. Tag Display: Corrected tag display inconsistencies. Archived Chat Styling: Fixed styling issues in archived chat. Safari Copy Button Bug: Addressed the bug where the copy button failed to copy links in Safari.
  • Access Ollama Base URL from n8n

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    W

    @girish Perfect thank you! This actually made it work for me!

    Steps:
    Generate an API key in your OpenWebUI.

    Add the header Authorization: Bearer {{api_key}} to a post request to {{OpenWebUI_URL}}/ollama/api/generate and a body of

    { "model": "llama2", "prompt": "Why is the sky blue?" }

    From there I get the response via the api.

    To use it with n8n I can just use the regular request node.

    The URL

    {{OpenWebUI_URL}}/ollama/

    gets forwarded to the internal Ollama endpoint. So if you want to access other aspects of the Ollama api you can just use their documentation at https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-completion.

    In the docs replace "localhost:11434/api/" with "{{OpenWebUI_URL}}/ollama/api/"

  • Should ollama be part of this app package?

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    coniunctioC

    @girish said in Should ollama be part of this app package?:

    Local ollama is now integrated. You have to reinstall the app though.

    Keep your expectations in check. It probably won't work great if you don't have a good CPU and we have no GPU integration yet. It's very slow with low end CPUs. I am not an expert on the RAM/CPU/GPU requirements. Feel free to experiment.

    I have been using the workaround of disabling local Ollama with the Cloudron app and running a separate (external) docker container installation of Ollama with a dedicated GPU on the same hardware and then linking that instance of Ollama to the Cloudron instance of Open-WebUI. Somehow, this configuration is faster on a NAS purchased in 2018 with an add-on NVIDIA 8GB GPU than my M1 MacBook Pro with 16GB RAM and integrated GPU purchased more recently. The additional bonus of running the Cloudron Open-WebUI vs the localhost version on my Apple silicon MBP is that I can use my local LLMs on my mobile devices in transit when my laptop is shut down.

  • The models load in the void

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    girishG

    Just saw this post - LLaMA Now Goes Faster on CPUs

  • Can't open web UI

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    Dennis4720 0D

    Correct, problem was solved shortly after posting this.

  • let's collect some metrics

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    L

    One thing I would like to have as an option is a bell sound when the generation has completed. It helps me be productive elsewhere instead of waiting.

    Oh, I would suggest overriding the initial memory allocation and ramping it up to as much RAM as you can spare.

  • 3 Votes
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    L

    @jdaviescoates I think you tried the mixtral one already. How about one of the puffin or orca models?

  • Changing the admin password doesn't work

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    2 Posts
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    jdaviescoatesJ

    Doh!

    It does work, I just hadn't scrolled down to see the all important Update password button!

    image.png

  • The advanced settings are reset every time

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    girishG

    Yeah, upstream is in heavy development, so I guess some of these issues are expected.

  • Various configuration issues

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    girishG

    @LoudLemur said in Various configuration issues:

    Cloudron's instructions say to change the password and email. You can change the password OK, but I don't think there is a field to change the email address.

    I can confirm this. There is actually no way to change the email. Can you report/ask this upstream and link it here? Thanks.