Open WebUI Deep Dive: Users, Models, Documents, Prompts, and Safe Sharing
The short answer: Open WebUI is suitable for a personal or shared homelab only when you patch it, keep signup controlled, separate admin and user accounts, grant models and knowledge bases explicitly, restrict tools, and back up the complete data volume. Self-hosting gives you control; it does not make every provider, plugin, upload, or tool private or safe.
This article is for the person administering a personal, family, or small-team instance. It assumes Open WebUI is already running in Docker and that you can manage volumes, logs, DNS, TLS, and firewall rules. The interface changes quickly: this guidance was fact-checked against the v0.10.2 release and current documentation on July 15, 2026, but you should recheck the release notes before publication or upgrade.
http://localhost:3000
If you are on another device on the same network, replace localhost with your server IP:
http://192.168.1.100:3000
Use this deep dive as a map of what to configure after the first successful login.
Quick Feature Map
Interactive Open WebUI Map: What Each Area Does
Click each step to see what it means in a beginner-friendly local AI setup.
Choose a box above to view details.
| Area | What it does | Beginner example |
|---|---|---|
| Chat | The main place you talk to models | Ask Llama 3.1 to explain a log file |
| Models | The list of available AI models and custom model presets | Switch between a coding model and a writing model |
| Knowledge/Documents | Upload files so the AI can search them | Ask questions about a PDF manual |
| Prompts | Reusable slash commands | Type /summarize instead of pasting a long instruction |
| Users/Groups | Control who can log in and what they can use | Give family access but hide admin tools |
| Connections | Tell Open WebUI where model APIs live | Connect Ollama, OpenAI, LiteLLM, vLLM, OpenRouter, or another compatible API |
| API Keys | Let scripts call Open WebUI | Use a local automation script to send chat requests |
| Admin Settings | Instance-wide switches | Enable/disable signup, API keys, model defaults, RAG settings |
| Backups/Updates | Keep data safe and software current | Back up the Docker volume before pulling a new image |
| Proxy/VPN | Safer network access | Use Tailscale or Nginx instead of opening a random port to the internet |
First Login and Users
The first account you create is the admin account. Save that login in your password manager. If you lose the first admin account, approving later users and changing settings can become annoying.
Open WebUI has three simple system roles:
| Role | What it means | Give it to |
|---|---|---|
| Admin | Full control of users, settings, connections, and resources | Only the homelab owner or trusted maintainers |
| User | Normal chat access, limited by permissions and groups | Family, teammates, or your own non-admin account |
| Pending | Signed up but not approved yet | New accounts waiting for review |
Beginner-safe setup:
- Log in with the first admin account.
- Open
Admin Panel. - Go to
Users. - Approve only the accounts you recognize.
- Keep new users as
User, notAdmin. - Use groups when different people should see different models, prompts, or knowledge bases.
Groups are useful because permissions add together. If a person is in two groups, they get the combined permissions from both. There is no strong "deny" rule that overrides an allowed permission, so keep groups simple.
Good starter groups:
| Group | Purpose | Example permissions |
|---|---|---|
| Family | Basic household chat | Chat and selected models |
| Power Users | Trusted technical users | More models, file uploads, maybe API keys |
| Admin Helpers | People who help manage the instance | Carefully selected admin-like permissions |
| Kids/Guests | Limited access | Only safe models, no API keys, no workspace tools |
Important security note: be careful with workspace tools and functions. Some Open WebUI extension features can execute code on your server. Do not give that power to untrusted users.
Model Switching
The model selector is usually near the top of the chat screen. It decides which model answers the next message.
Simple model switching steps:
- Open a chat.
- Click the model name near the top.
- Pick a different model.
- Send a new message.
- Compare the answer quality, speed, and style.
You can switch models inside the same conversation. The chat history remains visible, but the new model may understand the conversation differently. A small model may struggle with a long chat that a larger model handled fine.
Common model types:
| Model type | Best for | Tradeoff |
|---|---|---|
| Small local model | Quick simple questions, private offline use | Weaker reasoning |
| Larger local model | Better answers on your own hardware | Needs more RAM/VRAM |
| Coding model | Code, scripts, error messages | May be less friendly for general writing |
| Cloud model | Strong reasoning and broad capability | Sends prompts to the provider you configured |
| Custom Open WebUI model preset | A reusable "agent" with system prompt, tools, and knowledge attached | Needs setup time |
Open WebUI also has a Workspace > Models area. This is not just a download list. It lets you create a custom model preset on top of a base model.
Example: You have one base model called llama3.1. You can create:
| Preset | Base model | Added behavior |
|---|---|---|
| Home IT Helper | llama3.1 | Uses a system prompt about explaining steps slowly |
| Recipe Helper | llama3.1 | Uses a cooking prompt and pantry knowledge base |
| Log Analyzer | llama3.1 | Uses a troubleshooting prompt and lower temperature |
This is easier for beginners than remembering which settings to attach every time.
Documents and Knowledge
Documents are where Open WebUI becomes more than a chat box. You can upload files and ask questions about them. This is often called RAG, short for Retrieval-Augmented Generation. In plain English: Open WebUI searches your documents, finds relevant chunks, and gives those chunks to the model so it can answer with context.
There are two common ways to use files:
| Method | When to use it | Example |
|---|---|---|
| Chat upload | One-off file for one conversation | Drop in a PDF and ask for a summary |
| Knowledge base | Reusable collection of files | Build a "Homelab Manuals" collection |
Beginner document workflow:
- Open Open WebUI.
- Go to
Workspace. - Open
KnowledgeorDocuments, depending on your version and menu layout. - Create a new knowledge collection, such as
Homelab Notes. - Upload PDFs, text files, Markdown files, spreadsheets, or code files.
- Wait for processing to finish.
- Start a chat and attach or reference that knowledge collection.
- Ask a specific question, such as: "Using the Homelab Notes knowledge base, how do I restart the media server?"
Tips for better document answers:
| Tip | Why it helps |
|---|---|
| Use text-based PDFs when possible | Scanned images may need OCR before the model can read them well |
| Split huge topics into separate knowledge bases | "Networking", "Docker", and "Recipes" are easier to search than one giant pile |
| Ask specific questions | "What port does the guide say to use?" beats "Explain this" |
| Keep private docs private | Uploaded files live on your server, but approved users may access shared knowledge |
| Delete stale files | Old notes can cause wrong answers |
File cleanup matters. In current docs, Open WebUI has file management under settings/data controls. Deleting unused files can also clean up related retrieval data, depending on the file manager path you use.
Prompts
Prompts are reusable commands. Instead of typing the same long instruction over and over, you save it once and call it with a slash command.
Example:
/summarize
A prompt can be simple:
Summarize the text below in plain language. Use short bullets. End with action items.
Or it can use variables:
Summarize this for {{audience}}. Keep the tone {{tone}}. Focus on {{topic}}.
Beginner prompt workflow:
- Go to
Workspace. - Open
Prompts. - Create a new prompt.
- Give it a short command name, such as
summarize. - Paste the instruction.
- Save it.
- Open a chat.
- Type
/summarize. - Fill in any fields if the prompt asks for them.
Useful starter prompts:
| Prompt command | Purpose | Example use |
|---|---|---|
/summarize | Condense long text | Meeting notes, articles, PDFs |
/explain-like-newbie | Slow explanation | Error messages and logs |
/rewrite-email | Make a message clearer | Support emails or work replies |
/docker-help | Troubleshoot containers | Paste docker logs output |
/compare | Compare options | Mini PC vs used workstation |
Keep prompts boring and clear. A good prompt tells the model the task, the audience, the format, and what to avoid.
Admin Settings That Matter First
Open WebUI has many settings. Do not try to learn all of them on day one. Start with the settings that affect access, models, documents, and safety.
| Admin area | What to check | Beginner recommendation |
|---|---|---|
| Users | Who can log in | Keep unknown users pending |
| Groups | Shared permissions | Make a small number of clear groups |
| Connections | Model provider URLs and keys | Verify Ollama or OpenAI-compatible providers work |
| Models | Visible models and defaults | Hide models you do not want users to pick |
| General/Auth | Signup and API keys | Keep signup controlled; enable API keys only if needed |
| Knowledge/RAG | File handling and retrieval | Test with one small knowledge base before uploading everything |
| Data Controls | Files and exports | Learn where uploaded files are managed |
| Security/Network env vars | CORS, URL, cookies, secret key | Set these when using HTTPS or a reverse proxy |
Good beginner defaults:
| Setting idea | Safer choice |
|---|---|
| New user role | pending |
| Number of admins | As few as possible |
| API keys | Disabled until you need them |
| Workspace tools for regular users | Disabled |
| Public internet exposure | Avoid unless you understand reverse proxies and authentication |
| Backups | Before every update, plus scheduled backups |
If you use Docker, many settings can be passed as environment variables in docker run or docker-compose.yml. For a normal homelab, Docker Compose is easier to maintain than a very long docker run command.
Connecting OpenAI-Compatible Providers
"OpenAI-compatible" means a service speaks an API shaped like OpenAI's API. It does not always mean you are using OpenAI. Many tools can provide an OpenAI-compatible endpoint, including LiteLLM, vLLM, LocalAI, OpenRouter, some cloud providers, and other gateways.
There are two different directions people confuse:
| Direction | What it means | Example |
|---|---|---|
| Provider into Open WebUI | Open WebUI calls another model API | Add OpenRouter or LiteLLM under Admin Settings > Connections |
| Client into Open WebUI | Another app calls Open WebUI's API | A script sends a chat request to /api/chat/completions |
Add a Provider to Open WebUI
Steps:
- Log in as admin.
- Open
Admin Panel. - Go to
Settings. - Open
Connections. - Find the OpenAI-compatible section.
- Add the provider base URL.
- Add the API key.
- If model auto-detection does not work, manually add allowed model IDs.
- Click verify or save.
- Return to chat and pick the new model from the model selector.
Example provider table:
| Provider style | Base URL example | Notes |
|---|---|---|
| LiteLLM on your LAN | http://192.168.1.50:4000/v1 | Useful as a gateway to many providers |
| vLLM OpenAI server | http://192.168.1.60:8000/v1 | Common for self-hosted inference |
| OpenRouter | https://openrouter.ai/api/v1 | Add a model allowlist to avoid clutter |
| Google Gemini OpenAI-compatible endpoint | https://generativelanguage.googleapis.com/v1beta/openai | Watch exact URL format in current docs |
Beginner translation: the base URL tells Open WebUI where to send requests. The model ID tells Open WebUI what to ask for at that address.
Use Open WebUI as an API Endpoint
Open WebUI can also act like a model gateway for your own tools.
Basic steps:
- Enable API keys if your admin settings require it.
- Open your user settings.
- Go to
Account. - Generate an API key.
- Store it like a password.
- Call Open WebUI with a bearer token.
Example chat request:
curl -X POST http://localhost:3000/api/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "llama3.1",
"messages": [
{
"role": "user",
"content": "Explain Open WebUI in one paragraph."
}
]
}'
API key safety:
| Rule | Why |
|---|---|
| Treat API keys like passwords | They can use the account's permissions |
| Use a separate account for automation | Easier to disable if a script leaks |
| Restrict API key permissions if available | Limits damage |
| Do not paste keys into WordPress posts, GitHub, Discord, or screenshots | Leaked keys get abused |
Backups
Your Open WebUI data is more important than the container. The container can be recreated. Your chats, users, uploaded files, database, settings, and vector data need backup.
Common Docker volume layout:
| Data | Typical location inside container |
|---|---|
| Open WebUI database | /app/backend/data/webui.db |
| Uploads | /app/backend/data/uploads |
| Vector database | /app/backend/data/vector_db |
| Cache/log data | /app/backend/data/cache, /app/backend/data/audit.log |
If you used the common Docker volume:
-v open-webui:/app/backend/data
then the Docker volume is usually named open-webui.
Simple cold backup for a Docker volume:
docker stop open-webui
docker run --rm \
-v open-webui:/data:ro \
-v "$PWD":/backup \
alpine \
tar czf /backup/open-webui-backup-$(date +%F).tgz -C /data .
docker start open-webui
What this does:
- Stops Open WebUI so the database is not changing during backup.
- Mounts the
open-webuivolume read-only. - Creates a compressed
.tgzbackup in the current folder. - Starts Open WebUI again.
Restore test checklist:
| Check | Done? |
|---|---|
| Backup file exists and is not tiny | |
| You know where the file is stored | |
| You copied it off the server | |
| You tested restoring to a spare volume or test machine | |
| You wrote down the container name and volume name |
A backup you have never tested is only a hope.
Updates
Open WebUI updates usually mean replacing the container image while keeping the same data volume.
Safe beginner update flow:
- Read the release notes if this is an important instance.
- Back up the data volume.
- Pull the new image.
- Recreate the container with the same volume.
- Check logs.
- Open the UI.
- Test one chat and one document search.
Docker run style:
docker rm -f open-webui
docker pull ghcr.io/open-webui/open-webui:main
docker run -d -p 3000:8080 \
--add-host=host.docker.internal:host-gateway \
-v open-webui:/app/backend/data \
--name open-webui \
--restart always \
ghcr.io/open-webui/open-webui:main
If your original install used extra flags, keep them when you recreate the container. For example, local Ollama setups often need --add-host=host.docker.internal:host-gateway, and GPU setups may need --gpus all.
Docker Compose style:
docker compose pull
docker compose up -d
For a shared family or team instance, consider pinning a version instead of always using :main. Pinning means your docker-compose.yml names a specific release tag. That gives you more control, but you must remember to update intentionally.
Update safety table:
| Situation | Recommended approach |
|---|---|
| Personal test box | :main is convenient |
| Daily family use | Back up first, then update manually |
| Team or production use | Pin versions and read release notes |
| Something breaks after update | Stop, preserve the volume, review logs, then consider rolling back image tag |
Also set a persistent WEBUI_SECRET_KEY for serious deployments. If the secret changes unexpectedly, users may get logged out or encrypted tokens may stop decrypting correctly.
Reverse Proxy Basics
A reverse proxy sits in front of Open WebUI. Users connect to the proxy, and the proxy forwards traffic to Open WebUI.
Why use one?
| Reason | What it gives you |
|---|---|
| HTTPS | Encrypted browser connection |
| Nice URL | https://ai.example.com instead of http://192.168.1.100:3000 |
| Central access control | Add IP allowlists, SSO, or extra auth |
| Cleaner network layout | Open WebUI can listen only on localhost |
Beginner mental model:
Browser -> HTTPS reverse proxy -> Open WebUI container -> model provider
If the proxy runs on the same server, bind Open WebUI to localhost so it is not directly exposed to the whole LAN:
ports:
- "127.0.0.1:3000:8080"
Then point the proxy to:
http://127.0.0.1:3000
Simple Caddy example:
ai.example.com {
reverse_proxy 127.0.0.1:3000
}
Simple Nginx location example:
location / {
proxy_pass http://127.0.0.1:3000;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_buffering off;
proxy_cache off;
}
Reverse proxy settings to remember:
| Setting | Why it matters |
|---|---|
| WebSocket upgrade headers | Needed for streaming and live UI behavior |
proxy_buffering off | Prevents broken or delayed streaming output |
CORS_ALLOW_ORIGIN | Should match your real HTTPS URL when needed |
WEBUI_URL | Helps links and OAuth callbacks use the right public URL |
| Secure cookies | Use when Open WebUI is served over HTTPS |
For many homelabs, Caddy is the easiest reverse proxy. Nginx gives more manual control. Nginx Proxy Manager gives a web UI for people who do not want to hand-edit config files.
LAN and VPN Security
Do not confuse "local network" with "safe." A LAN can include guest Wi-Fi devices, old phones, compromised laptops, smart TVs, and visitors. If Open WebUI can reach powerful models, private documents, or API keys, protect it.
Access options:
| Access style | Good for | Risk level |
|---|---|---|
| Localhost only | One person on the server | Lowest |
| LAN IP and port | Home use on trusted network | Medium |
| VPN/Tailscale | Remote private access | Lower than public port forwarding |
| Reverse proxy with HTTPS | Named domain and browser trust | Depends on auth and exposure |
| Public port forward | Internet access | Highest |
Beginner-safe recommendation:
- For one machine, use
localhost. - For home devices, use LAN access only if your Wi-Fi is trusted.
- For remote access, use Tailscale, WireGuard, or another VPN.
- For public access, use HTTPS, strong authentication, rate limiting, and careful user permissions.
- Do not expose Open WebUI directly to the internet with plain HTTP.
Tailscale-style flow:
Laptop/phone on tailnet -> encrypted VPN -> homelab server -> Open WebUI
Why VPN is beginner-friendly:
| Benefit | Plain explanation |
|---|---|
| No public port required | Your router does not need to expose Open WebUI to everyone |
| Device-level access | Only your approved devices can connect |
| Works away from home | Use your home AI from a laptop or phone |
| Can still use HTTPS | Tailscale and proxies can provide browser-friendly HTTPS options |
Minimum security checklist:
| Task | Recommendation |
|---|---|
| Admin password | Use a long unique password |
| Signup | Keep new users pending or disable signup after setup |
| Admin accounts | Keep the count small |
| API keys | Enable only when needed |
| Tools/functions | Restrict to trusted admins |
| Documents | Share only with the users/groups that need them |
| Backups | Encrypt backups if they contain private chats or documents |
| Router | Avoid public port forwarding unless you know why |
| Updates | Back up first, then update |
| Logs | Review failed logins or strange traffic if exposed beyond localhost |
A Simple First-Day Configuration Plan
If you are new, do this in order:
- Confirm Open WebUI works from the server browser.
- Create and save the first admin account.
- Connect one model provider, such as Ollama.
- Send one test chat.
- Create one regular user account for yourself and keep admin separate.
- Upload one small document and test a question.
- Create one prompt shortcut.
- Back up the Docker volume.
- Decide how you will access it: localhost, LAN, VPN, or reverse proxy.
- Only then invite other users.
Troubleshooting Quick Table
| Problem | Likely cause | First thing to try |
|---|---|---|
| Other devices cannot connect | Server firewall, wrong IP, container bound to localhost | Test from server, then check http://SERVER-IP:3000 |
| Model list is empty | Provider connection is wrong | Check Admin Settings > Connections |
| Ollama works on host but not in container | localhost inside Docker means the container | Use host.docker.internal or the host LAN IP |
| Streaming looks broken behind proxy | Proxy buffering or WebSocket headers | Disable buffering and set upgrade headers |
| New user cannot chat | Account is pending or lacks permissions | Approve user and check groups |
| Uploaded document gives bad answers | Bad extraction, wrong knowledge base, weak model, small context | Try a text file, ask a specific question |
| Update did not change anything | Old container still running | Pull image, remove old container, recreate |
| Chats disappeared after restart | No persistent volume or wrong volume mounted | Stop and inspect the Docker volume before changing more |
Evidence and Security Validation
Evidence status: this article is documentation-backed. TechGeeks reviewed current Open WebUI documentation, v0.10.2 release notes, and independent GitHub Security Lab analysis on July 15, 2026. TechGeeks did not deploy a fresh multi-user instance or independently reproduce an access-control vulnerability for this revision. The following is a reader-run acceptance and regression test, not a report of completed lab work.
Patch before testing. GitHub Security Lab documented a tool-restriction bypass in v0.6.43, and current release notes continue to include security and access-control fixes. Do not infer safety from the product being self-hosted, and do not expose an old instance while you decide whether to upgrade.
- Inventory the deployment. Record the immutable image digest, database type, volume,
WEBUI_SECRET_KEYhandling, providers, API keys, enabled tools/functions, signup policy, groups, public URL, and reverse-proxy rules. - Create negative-test accounts. Use a pending account, an ordinary user, a group-limited user, and a separate administrator. In a private browser session, confirm each user sees only the assigned models, knowledge bases, chats, prompts, tools, and API features.
- Test the API, not only the menus. From the ordinary account, directly request an unassigned resource and invoke a disabled tool through the supported API path. Both attempts must fail server-side; hiding a button is not authorization.
- Plant canary content. Put a unique harmless string in a private knowledge base and another in a different user's file. Queries from unauthorized accounts must not retrieve either string. Repeat after group changes and after an update.
- Test untrusted documents. Upload a benign file containing an instruction to ignore the user and call a tool. The application must not grant a document more authority than the user, and write-capable tools should require an explicit approval or remain unavailable.
- Trace egress. Send a local-model chat while observing DNS and outbound connections. Repeat with web search, remote embeddings, image generation, and each plugin disabled and enabled so the privacy effect of every integration is known.
- Restore, then upgrade. Restore the complete data volume and secret to a separate test instance, sign in as both admin and user, open a chat, retrieve a document, and call an allowed tool. Upgrade the clone first and repeat all negative tests.
Break-Glass and Data Boundaries
If authorization fails, stop public or cross-VLAN access first. Disable the affected tool or provider, revoke exposed API and OAuth tokens, preserve container, proxy, authentication, and audit logs, and keep the data volume unchanged for investigation. Do not erase the instance before determining which users, resources, and outbound services were reachable.
A rollback requires the previous image digest and a database copy from before migration. Recreating an older container against a database already changed by a newer release may not be supported. Keep the original backup read-only, restore to a new volume, and verify login and retrieval before switching traffic. Preserve the same secret when restoring encrypted tokens; rotate external credentials if the secret or backup may have leaked.
Uploads, chats, generated memories, logs, and vector indexes can contain personal data, copyrighted documents, source code, and secrets. Collect only what users are authorized to provide, define retention and deletion expectations, encrypt off-host backups, and review the privacy and data-use terms of every remote model, embedding, speech, image, and search provider. Open WebUI access control does not grant legal permission to process the content.
What This Evidence Does Not Prove
- Passing role and group tests on v0.10.2 does not prove future releases or every API endpoint preserve the same authorization behavior.
- A private knowledge-base setting does not prove retrieved chunks cannot cross a boundary through a plugin, shared model, administrator action, backup, log, or software defect.
- HTTPS protects traffic in transit; it does not secure an overprivileged tool, weak account, exposed origin, compromised browser, or remote provider.
- A successful backup archive does not prove recovery. Only a clean restore that exercises login, chats, files, retrieval, and tools validates the recovery path.
- A local Ollama connection does not prove the entire workflow is local when web search, remote embeddings, image generation, speech, pipelines, or cloud models are enabled.
Related TechGeeks Reading
- Remote Access Without Opening Router Ports
- Tailscale vs WireGuard vs Cloudflare Tunnel vs Reverse Proxy
- Docker Compose for Normal People
- RAID, ZFS Snapshots, Sync, and Backup
References
Sources fact-checked on 2026-07-15:
- Open WebUI Docs - Home: https://docs.openwebui.com/
- Open WebUI Docs - Sharing Open WebUI: https://docs.openwebui.com/getting-started/sharing/
- Open WebUI Docs - Roles: https://docs.openwebui.com/features/authentication-access/rbac/roles/
- Open WebUI Docs - Groups: https://docs.openwebui.com/features/authentication-access/rbac/groups/
- Open WebUI Docs - Permissions: https://docs.openwebui.com/features/authentication-access/rbac/permissions/
- Open WebUI Docs - Models: https://docs.openwebui.com/features/workspace/models/
- Open WebUI Docs - Knowledge: https://docs.openwebui.com/features/workspace/knowledge/
- Open WebUI Docs - Retrieval Augmented Generation: https://docs.openwebui.com/features/chat-conversations/rag/
- Open WebUI Docs - File Management: https://docs.openwebui.com/features/chat-conversations/data-controls/files/
- Open WebUI Docs - Prompts: https://docs.openwebui.com/features/workspace/prompts/
- Open WebUI Docs - OpenAI-Compatible Provider Setup: https://docs.openwebui.com/getting-started/quick-start/connect-a-provider/starting-with-openai-compatible/
- Open WebUI Docs - API Keys: https://docs.openwebui.com/features/authentication-access/api-keys/
- Open WebUI Docs - API Endpoints: https://docs.openwebui.com/reference/api-endpoints/
- Open WebUI Docs - Backups: https://docs.openwebui.com/tutorials/maintenance/backups/
- Open WebUI Docs - Updating Open WebUI: https://docs.openwebui.com/getting-started/updating/
- Open WebUI Docs - HTTPS and Reverse Proxies: https://docs.openwebui.com/reference/https/
- Open WebUI Docs - HTTPS using Nginx: https://docs.openwebui.com/reference/https/nginx/
- Open WebUI Docs - HTTPS using Tailscale: https://docs.openwebui.com/reference/https/tailscale/
- Open WebUI Docs - Hardening Open WebUI: https://docs.openwebui.com/getting-started/advanced-topics/hardening/
- Open WebUI Docs - Connection Errors: https://docs.openwebui.com/troubleshooting/connection-error/
- Open WebUI v0.10.2 release notes: https://github.com/open-webui/open-webui/releases/tag/v0.10.2
- Open WebUI security advisories: https://github.com/open-webui/open-webui/security
- GitHub Security Lab, GHSL-2026-002 tool-restriction bypass analysis: https://securitylab.github.com/advisories/GHSL-2026-002_Open_WebUI/
- OWASP GenAI Security Project, prompt-injection risk: https://genai.owasp.org/llmrisk/llm01-prompt-injection/
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