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[PR #22371] [CLOSED] Medgemma runpod setup #26639
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📋 Pull Request Information
Original PR: https://github.com/open-webui/open-webui/pull/22371
Author: @cadeferg
Created: 3/7/2026
Status: ❌ Closed
Base:
main← Head:medgemma-runpod-setup📝 Commits (3)
6ef1770Setting up custom docker image71564f2Update suggested prompts in config.py6fdab25prepare openwebui fork for medgemma runpod deployment📊 Changes
14 files changed (+280 additions, -25 deletions)
View changed files
📝
.env.example(+27 -1)📝
Dockerfile(+1 -0)📝
README.md(+7 -0)📝
backend/open_webui/config.py(+13 -13)📝
backend/open_webui/main.py(+5 -0)➕
backend/open_webui/prompts/medical_simplification.txt(+22 -0)➕
backend/open_webui/utils/document_chunking.py(+21 -0)➕
backend/open_webui/utils/runpod_idle_shutdown.py(+126 -0)➕
deploy/runpod-model/.env.example(+4 -0)➕
deploy/runpod-model/README.md(+11 -0)➕
deploy/runpod-model/run_vllm.sh(+12 -0)➕
desktop.ini(+2 -0)➕
docker-compose.medgemma-dev.yml(+27 -0)📝
docker-compose.yaml(+2 -11)📄 Description
Pull Request Checklist
Note to first-time contributors: Please open a discussion post in Discussions to discuss your idea/fix with the community before creating a pull request.
Before submitting, make sure you've checked the following:
devbranch.choreDescription
This PR introduces backend utilities and deployment scaffolding to support running Open WebUI with an external HuggingFace-hosted MedGemma model server (e.g., served via vLLM on infrastructure such as RunPod).
The goal is to prepare the repository for integration with external LLM inference services rather than assuming local Ollama-based models.
These changes are non-breaking and primarily add optional utilities and configuration scaffolding that can be used in external deployments.
Key motivations:
None of these additions modify existing model providers or affect default Open WebUI behavior.
Changelog Entry
Description
Adds backend utilities and deployment scaffolding to support external model serving (e.g., MedGemma via vLLM) and infrastructure-aware deployments such as GPU spot instances.
Added
runpod_idle_shutdown.pyutility to support optional automatic shutdown of idle GPU podsdocument_chunking.pyhelper for splitting long medical documents into manageable chunksChanged
.env.examplewith optional configuration variables for external model servers and GPU deployment environments.Deprecated
Removed
Fixed
Security
Breaking Changes
Additional Information
These additions are intended for deployments where Open WebUI interacts with an external model inference server (e.g., HuggingFace models served through vLLM).
The utilities are optional and do not affect existing Open WebUI functionality.
Future work may include:
Screenshots or Videos
N/A — backend utilities and deployment scaffolding only.
Contributor License Agreement
By submitting this pull request, I confirm that I have read and fully agree to the Contributor License Agreement (CLA), and I am providing my contributions under its terms.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.