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🗺️ Quick Navigation

#	Tool	Best for
1	🎬 Jellyfin Media Player	Stream movies, TV, music & live TV from your own server
2	📺 YouTube Player	Watch, search & summarize YouTube videos directly in chat
3	🎥 LTX-2.3 Video Generator	Generate AI videos from text or images via ComfyUI
4	📰 News Reader	Live headlines from 45 feeds across 11 categories — with AI summaries
5	🌐 Reddit Explorer	Browse Reddit — posts, comments, media, user profiles — no API key
6	🎙 Podcast Player	Stream any podcast episode directly in chat — no API key
7	🧠 Thinking Filter	One-click thinking toggle + full reasoning control for llama.cpp
8	🧩 Ask User	The right questions before the right answer
9	🎭 Persona Studio	Instantly switch your AI's personality & tone
10	📖 Wikipedia	Instant encyclopedia lookups in 20+ languages
11	🌌 Omniscient Orchestrator	Multi-stage AI workflow with strategy selection
12	😂 Joke Tool	300+ programmer jokes on demand
13	💾 VRAM Unload	Unload llamacpp models with one click
14	🔍 RTX Image Upscaler	Upscale images up to 4× using NVIDIA RTX Video Super Resolution via ComfyUI

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🛒 Install from the Open WebUI Marketplace

The fastest way to get these tools running. No copy-paste required — install directly from the Open WebUI marketplace in seconds.

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🎬 Jellyfin Media Player

Stream your entire Jellyfin library inside Open WebUI — with a cinematic embedded player, subtitle support, quality presets, album art, and live TV with EPG.

🎬 Movies	📺 TV Shows
📡 Live TV	🎵 Music

✨ What it does

Your Jellyfin library, right inside the chat. Ask for any movie, show, track, or live channel in plain English and get an embedded player back — no tab-switching, no searching, no fuss.

Feature	Detail
🎬 Movies & TV	Stream any item, use S01E01 or 1x01 episode notation
🎵 Music	Full player with waveform visualiser, album art & EQ animation
📡 Live TV	Tune to any channel with a pulsing LIVE badge and EPG now-playing info
🎲 Random picks	Ask for a random film, episode, or song — optionally filter by genre
💬 Subtitles	Dropdown with every available language track
📐 Quality	Original · 4K · 1080p · 720p · 480p · 360p
⬇️ Download	Download button on every player
🔎 Info mode	Get rich media details without opening a player

⚙️ Setup (3 steps)

1. Create a restricted Jellyfin user (playback-only, no admin or delete permissions)
2. Generate an API key: Dashboard → API Keys → +
3. Paste both into the tool valves: JELLYFIN_HOST and JELLYFIN_API_KEY

For Live TV, you'll also need a tuner or IPTV source configured under Dashboard → Live TV.

🗣️ Example prompts

play Inception
play Breaking Bad S03E10
play music Bohemian Rhapsody
random comedy movie
tell me about Interstellar
what was recently added
watch live CNN
list live channels

⚠️ Disclaimer

This tool connects to your own self-hosted Jellyfin server — it doesn't host, stream, or distribute any content itself. What's on your server is your business. Use responsibly and make sure you have the rights to anything you're streaming.

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📺 YouTube Player

Watch YouTube videos, browse search results, and get AI-powered summaries — directly in chat. No API key required. Powered by YouTube's own InnerTube API, with likes/dislikes from Return YouTube Dislike and transcripts via youtube-transcript-api.

✨ What it does

YouTube, embedded right in your chat window. Ask for a tutorial, share a URL, or say "search YouTube for X" — the tool picks the right action automatically. The embedded player loads instantly with view counts, likes/dislikes, and channel info. If a transcript is available, the LLM silently reads it so you can ask follow-up questions about the video without ever leaving the conversation.

Feature	Detail
▶️ Watch instantly	Paste a URL or describe what you want — the best match embeds immediately
🔎 Browse grid	Ask to "search YouTube for X" to get a scrollable results grid and pick your own
🧠 AI summaries	"Summarize this video" fetches the full transcript and writes a structured recap
📜 Full transcripts	Get the raw transcript text of any video on demand
👍👎 Likes & dislikes	Dislike counts restored client-side via Return YouTube Dislike API
📊 Rich metadata	View count, channel name, publish date, and duration shown on every player
🔑 No API key needed	Search via YouTube's own InnerTube API — fast, reliable, no setup
🔑 Optional API key	Set YOUTUBE_API_KEY in valves for improved search accuracy via Data API v3

🗣️ Example prompts

show me a video about how transformers work
I need a tutorial on Docker networking
search YouTube for lo-fi hip hop study beats
play https://www.youtube.com/watch?v=dQw4w9WgXcQ
summarize this YouTube video: [url]
get the transcript of [url]
what are some videos on RLHF?

⚙️ Setup

Works out of the box — no configuration needed.

Optional valves:

Valve	Default	What it does
YOUTUBE_API_KEY	(empty)	YouTube Data API v3 key for improved search accuracy
INVIDIOUS_INSTANCE	(auto)	Preferred Invidious instance for transcript fallback

Requires youtube-transcript-api Python package (listed in tool requirements — installs automatically).

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🎥 LTX-2.3 Video Generator

Generate cinematic AI videos from a text prompt or an uploaded image — powered by LTX-Video 2.3 (22B FP8) running locally in ComfyUI, with an embedded player, mobile-compatible output, and creative filenames chosen by the LLM.

🙏 Adapted from Haervwe's WAN 2.2 ComfyUI tool — the original inspiration for this implementation.

✨ What it does

Two tools in one: Text-to-Video and Image-to-Video, both driven by the LTX-Video 2.3 22B model running locally in ComfyUI. Ask for a video in plain English — or upload an image and say "animate this" — and get a fully embedded cinematic player back in chat with a download button, open button, and a creative title the LLM names itself. For Image-to-Video the output resolution is automatically set to match your input image. Running on a single GPU? Both Ollama and llama.cpp models can be auto-evicted from VRAM before each generation so the video model gets all the headroom it needs.

Feature	Detail
✍️ Text-to-Video	Generate from any prompt at configurable resolution, up to 30 s
🖼️ Image-to-Video	Upload any image — output resolution automatically matches it, no guessing
🖥️ Embedded player	Cinematic dark player rendered directly in chat — watch, open, or download without leaving the conversation
⏱️ Configurable duration	Pick 5s · 10s · 15s · 20s · 25s · 30s per-user — no admin needed
🧹 VRAM unload (GPU poor friendly)	Auto-evicts Ollama and/or llama.cpp models before each generation — reclaim every MB for the video model
📱 Mobile-compatible	ffmpeg post-encode to H.264 yuv420p + faststart — shareable on iOS & WhatsApp
🎲 Random seeds	Both noise seeds randomised every generation — never duplicate outputs
🎬 Creative filenames	LLM picks a unique 2–4 word title per video (e.g. Dragon_Awakens_Dawn_i2v)
🔑 Optional API key	Bearer token support for secured ComfyUI setups

⚙️ Prerequisites

This tool connects to a running ComfyUI instance with LTX-Video 2.3 already set up. You'll need:

1. ComfyUI running with an LTX-2.3 workflow loaded — see LightricksAI/LTX-Video for models
2. ComfyUI-Unload-Model custom node installed — required by the workflow to free VRAM between pipeline stages

Then configure the tool valves:

Valve	Default	What it does
comfyui_api_url	http://localhost:8188	ComfyUI HTTP endpoint
comfyui_api_key	(empty)	Bearer token if ComfyUI is behind auth
owui_internal_base	http://localhost:8080	Internal OWUI URL for file serving
video_length_frames	241	Default frame count (241 = 10 s at 24 fps)
frame_rate	24	Output fps
t2v_width / t2v_height	1280 / 720	Text-to-Video resolution (I2V uses the input image size automatically)
max_wait_time	600	Seconds before timeout (generation takes 3–10 min)
unload_ollama_models	true	Auto-free Ollama VRAM before each generation
ollama_api_url	http://localhost:11434	Your Ollama server address
unload_llamacpp_models	false	Auto-free llama.cpp router models before each generation
llamacpp_api_url	http://localhost:8082	Your llama.cpp router address

🗣️ Example prompts

make a video of a samurai walking through cherry blossoms at sunset
generate a 15 second clip of ocean waves crashing at night
animate this image [upload any photo]
create a video of a neon-lit city street in heavy rain
a slow-motion shot of a red fox jumping through snow
timelapse of storm clouds rolling over a mountain range

⚡ Per-user settings

Each user can override the admin defaults independently:

Setting	Options	Note
video_duration	5s 10s 15s 20s 25s 30s	Applies to both T2V and I2V
frame_rate	Any integer (default 24)
t2v_width / t2v_height	Any resolution (default 1280×720)	T2V only — I2V always matches the uploaded image automatically

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📰 News Reader

Live news from 45 hand-picked RSS feeds across 11 categories — rendered as an interactive card feed in chat. Cards are expandable, category routing is automatic, and the LLM can fetch and summarize full article content — not just RSS snippets.

✨ What it does

Say "tech news" or "what's happening with AI" and get a live, beautifully rendered card feed from the best sources in that category — Ars Technica, Reuters, BBC, Hacker News, MIT Tech Review, and more. Each card shows the headline and a preview that expands to the full summary on click. Ask to "summarize the latest climate news" and the tool actually fetches and reads up to 6 full articles, then hands them to the LLM to write a real briefing — not a headline list.

Feature	Detail
📡 45 RSS feeds	Hand-picked sources across 11 categories: World, Tech, AI, Science, Business, Sports, Gaming, Health, Politics, Entertainment, Climate
🃏 Expandable cards	Click any card to expand the full summary inline — no new tabs
🔍 Keyword search	Search across all 45 feeds simultaneously for any topic or name
🗞️ Front page	"Top headlines" builds a curated cross-category briefing from the best sources
🧠 AI summaries	"Summarize [topic] news" fetches real article text and gives it to the LLM to write proper paragraphs
🔑 Zero config	No API keys, no setup — works out of the box
⚙️ Configurable limit	MAX_ARTICLES valve controls how many articles to fetch (default 15, max 40)

📚 Included sources (sample)

Category	Sources
🌐 World	Reuters, AP News, BBC World, Al Jazeera
💻 Tech	Ars Technica, The Verge, Wired, TechCrunch, Hacker News
🤖 AI	MIT Tech Review, VentureBeat AI, The Decoder
🔬 Science	NASA, New Scientist, Science Daily, Phys.org
💼 Business	Financial Times, Bloomberg, CNBC, Forbes
🎮 Gaming	IGN, Kotaku, PC Gamer, Eurogamer
🏥 Health	NHS UK, MedicalNewsToday, WHO, WebMD
🌱 Climate	The Guardian Env, Carbon Brief, Inside Climate News

🗣️ Example prompts

latest news
top headlines
tech news
AI news
news about SpaceX
what's happening with Bitcoin
summarize the latest science news
brief me on tech news today
gaming news
what's going on in politics?

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🌐 Reddit Explorer

Browse Reddit directly in chat — hot, new, top & rising posts from any subreddit, full comment threads, rich media (images, video, galleries), user profiles, and smart subreddit suggestions. Zero API key, zero sign-in.

✨ What it does

Nine purpose-built functions let the LLM intelligently navigate Reddit on your behalf. Ask "what's hot on r/worldnews", "show me the top posts of the week in r/science", or just "what's happening on Reddit" — the tool picks the right function, picks a sensible subreddit if you didn't specify one, fetches live data via Reddit's public JSON API, and returns fully-rendered markdown with inline images, video links, upvote scores, and direct comment links.

Feature	Detail
🔥 Hot / 🆕 New / 🏆 Top posts	Browse any subreddit by sort — Top supports hour · day · week · month · year · all time filters
🌐 Reddit front page	Global popular, all, or best feeds — no subreddit needed
🔍 Search	Full-text search within a specific subreddit or across all of Reddit
💬 Comment threads	Fetches a post's top comments with nested first-level replies (depth 3), sorted by top · best · new · controversial · old
🖼️ Inline images	Direct image posts render inline with  — JPEG, PNG, GIF, WebP
🎬 Video links	Reddit-hosted videos get a ▶ Watch link; embedded videos (YouTube, Twitch, etc.) include provider name and a thumbnail
🖼️🖼️ Galleries	Multi-image gallery posts show up to 4 preview images inline
🔗 External links	Link posts surface the external URL alongside the Reddit thread link
⬆️ Upvote scores & ratio	Every post shows score (formatted as 1.2k / 3.4M) and upvote percentage
🏠 Subreddit info	Full community profile: icon, banner, member count, active users, language, NSFW flag, and top rules
👤 User profiles	Karma breakdown (post / comment / total), badges (mod, gold, verified), avatar, and recent post history
🗺️ Subreddit suggestions	Topic → subreddit map covering 20+ categories (news, AI, gaming, finance, food, travel, crypto, etc.) plus live Reddit search
🔞 / 🙈 Content tags	NSFW and spoiler posts are flagged automatically
🔑 No API key required	Uses Reddit's public .json endpoints — no OAuth, no account, no rate-limit keys

📚 All 9 functions at a glance

Function	Trigger phrase examples
get_hot_posts(subreddit, limit)	"what's trending on r/gaming", "hot posts in worldnews"
get_new_posts(subreddit, limit)	"latest posts on r/OpenWebUI", "newest in r/technology"
get_top_posts(subreddit, time_filter, limit)	"top posts this week in r/science", "best of all time on r/AskReddit"
search_reddit(query, subreddit, limit)	"search Reddit for llama.cpp", "find posts about ComfyUI in r/stablediffusion"
get_post_comments(post_id, subreddit, limit, sort)	"show me the comments on that post", "read the discussion"
get_subreddit_info(subreddit)	"what is r/LocalLLaMA", "tell me about r/homelab"
suggest_subreddits(topic)	"where can I find AI news on Reddit?", "best subreddit for cooking"
get_reddit_frontpage(feed, limit)	"what's popular on Reddit", "show me Reddit", "what's happening today"
get_user_profile(username, limit)	"look up u/spez", "show me that user's post history"

🗣️ Example prompts

What's hot on r/LocalLLaMA today?
Show me the top posts of the week in r/worldnews
What's the latest on r/OpenWebUI?
Search Reddit for "open-webui tools"
What's the best subreddit for home automation?
Tell me about r/MachineLearning
Show me the Reddit front page
Read the comments on that post
Look up the profile for u/GallowBoob
What's trending on Reddit right now?
Find me the top AI news from this month

⚙️ Requirements

Only one Python package is needed:

requirements: requests

No valves, no API keys, no configuration — install and ask away.

ℹ️ Uses Reddit's public reddit.com/r/<subreddit>.json endpoints with a descriptive User-Agent header. Respects Reddit's public API fair-use guidelines.

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🎙 Podcast Player

Stream any podcast directly in chat — powered by the free iTunes Search API and RSS feeds, with a cinematic animated-waveform audio player, playback speed control, 30-second skip, and episode browsing. No API key required.

✨ What it does

The entire iTunes podcast directory — millions of shows — accessible by name, topic, or host. Ask for the latest episode of any show, jump to a specific episode by number or title keyword, discover today's Apple top 25, or let the tool roll a random episode from a show's back catalogue. An embedded cinematic player with animated waveform, album art, speed control, and 30-second skip renders right in chat — podcast-standard controls without leaving the conversation.

Feature	Detail
🎙 Play any podcast	Latest episode, specific episode number, or episode title keyword
🎲 Random episode	Surprise pick from a show's entire back catalogue — great for rediscovering classics
🔎 Directory search	Search millions of podcasts by name, host, topic, or genre
📊 Top 25 charts	Apple Podcasts top charts, localised by country code
🎚️ Speed control	0.5× · 0.75× · 1× · 1.25× · 1.5× · 2× playback speed
⏩ 30-second skip	Podcast-standard forward/back skip buttons
🎨 Animated waveform	Vivid per-show colour palette with animated EQ visualiser
🌍 Localised charts	Set COUNTRY_CODE valve to get top charts for your country (default: us)
🔑 Zero config	Uses the free iTunes Search API + RSS — no keys, no account needed

🗣️ Example prompts

play podcast Joe Rogan
play podcast Serial episode 5
play podcast Hardcore History Blitzkrieg
search podcast true crime
top podcasts
random podcast episode Lex Fridman
play the latest Darknet Diaries
what podcasts are trending?

⚙️ Setup

Works out of the box — no configuration needed.

Optional valve:

Valve	Default	What it does
COUNTRY_CODE	us	2-letter ISO country code for Apple top-chart rankings (e.g. gb, ca, au, de)

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🧠 Thinking Filter

The missing thinking toggle for llama.cpp + Qwen3.5 One click to unleash deep reasoning. One click to turn it off. And when you want more — full control over depth, style, and how answers are presented.

✨ What it does

llama.cpp supports Qwen3.5 extended <think> reasoning mode natively — but Open WebUI has no built-in toggle for it. This filter fixes that completely, replacing manual tweaking with a proper one-click think button and a full suite of reasoning controls.

Feature	Detail
🧠 One-click toggle	Brain button in the ✦ panel — ON thinks, OFF is instant vanilla
🔀 enable_thinking valve	Toggle thinking on/off per-user without disabling the filter — sampling & presentation stay active either way
🎛️ 4 sampling presets	Force Qwen3.5's official parameters at llama.cpp API level — Instruct General · Instruct Reasoning · Thinking General · Thinking Precise
📊 5 depth levels	Unlimited · MAX (16k) · Deep (8k) · Normal (3k) · Quick (512 tokens)
🔬 13 reasoning presets	Shape how it thinks
🎨 11 presentation presets	ELI5, Expert Tone, TL;DR First — shape how it answers
👤 Per-user control	Every user sets their own depth, style, and sampling independently
🔒 Bulletproof injection	Dual-path injection (system + user message) works around Open WebUI's pipeline bug

⚡ Setup (1 step)

Step 1 — Start llama-server with:

llama-server --jinja --chat-template-kwargs "{\"enable_thinking\":false}" 

The --chat-template-kwargs "{\"enable_thinking\":false}" flag lets the filter set the budget dynamically per request.

The --jinja flat enables Jinja chat template processing, required for Qwen3.5's think block

Enable the function and set it as default for your qwen3.5 models if you want the default to be thinking enabled. (If you rather have thinking disabled by default do not set the function as default!)

Now every chat has a 🧠 button that can be diabled in one click and enabled back in two clicks.

📊 Thinking Depth

Depth	Token Budget	Best for
Unlimited	No cap	Default — model thinks as long as it needs
MAX	16 000 tokens	Hardest problems, exhaustive analysis
Deep	8 000 tokens	Complex reasoning, careful step-by-step
Normal	3 000 tokens	Everyday use, balanced
Quick	512 tokens	Fast answers with just a hint of thought

🔬 Reasoning Presets — how the model thinks

Preset	What it does
None	Vanilla — pure thinking, no style instruction
Think Less	Skip over-analysis, reach conclusions fast
Think More	Explore multiple angles before settling
Extended Thinking	Deep deliberation: edge cases, counterargs, stress-tests every conclusion
MAX Thinking	🔥 Exhaustive — never stops early, challenges everything, asks "what have I missed?" Pair with MAX depth
Step by Step	Numbered structured reasoning, nothing skipped
Devil's Advocate	Steelmans the opposing view before answering
First Principles	Strips to fundamentals, rebuilds from scratch
10x Hypotheses	Generates 10 distinct approaches, evaluates all, picks the best
Socratic	Interrogates the question's own assumptions before answering
Rubber Duck	Narrates every logical move out loud — catches its own mistakes
Pre-Mortem	Assumes the answer will fail, fixes it before giving it
Bayesian	Probabilistic reasoning with honest calibrated confidence
Contrarian	Default skepticism — challenges obvious answers, demands proof

🎨 Presentation Presets — how the answer looks

Preset	What it does
None	Vanilla output
ELI5	Explain like I'm five — strip all complexity
Be Concise	Shortest complete answer, zero padding
Bullet Points	Clean bulleted list
TL;DR First	One-sentence summary up top, then full detail
Teach Me	Concept → examples → memorable takeaway
Expert Tone	Graduate-level, precise vocabulary
Casual Chat	Relaxed, no jargon, like texting a smart friend
Debate Format	Strongest FOR → strongest AGAINST → verdict
Analogies Only	Everything through metaphors, zero technical terms
Action Items	Numbered steps to execute immediately
Socratic Reply	Guides you to the answer through probing questions

🎛️ Mix & Match Examples

Depth	Reasoning	Presentation	Result
MAX	MAX Thinking	Expert Tone	🔥 Deepest possible analysis, grad-level output
Normal	Bayesian	TL;DR First	Calibrated probabilistic answer, summary first
Quick	None	Be Concise	Lightning-fast minimal answer
Deep	First Principles	Teach Me	Rebuilds from scratch, explains like a lesson
Deep	Devil's Advocate	Debate Format	Full steelman treatment, structured verdict
Unlimited	Contrarian	ELI5	Challenges every assumption, explains simply

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🧩 Ask User

Replicate Claude's "ask follow-up questions before acting" behaviour — collect structured multi-step input through sequential popup dialogs before your AI writes a single word.

✨ What it does

Ever notice how Claude pauses, asks you a few targeted questions, then produces something far more on-point? This tool brings that exact behaviour to Open WebUI. The LLM can ask 1–5 structured questions upfront — each in its own popup with a progress indicator — before committing to a response.

Feature	Detail
📋 Up to 5 questions	Defined upfront — no infinite loops
🪟 One popup per question	Clear progress indicator: Question 2 of 4
📦 Structured output	All answers returned together before the LLM acts
🔒 Bounded & predictable	The LLM cannot keep asking — it must proceed
🔑 No dependencies	Standard library only

🗣️ Best for

"Write me a cover letter"    → gathers: role, company, tone, key achievements
"Plan my project"            → gathers: deadline, team size, stack, goals
"Draft a cold email"         → gathers: recipient, offer, call to action
"Create a workout plan"      → gathers: goal, equipment, days per week

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🎭 Persona Studio

Instantly reshape how your AI thinks and communicates — dozens of crafted personas across multiple categories, plus a fully custom option.

✨ What it does

Stop editing system prompts manually. Persona Studio gives you an interactive popup browser with categorised personas — each with a distinct tone, voice, quirks, and style. Switch mid-conversation in one message.

Feature	Detail
🎯 Interactive browser	Categorised popup UI — pick and apply in one click
😎 Dozens of personas	Technical · Creative · Professional · Playful · and more
✍️ Custom option	Define any personality from scratch
🚀 Instant switch	No re-prompting, no manual system prompt editing

🗣️ Example prompts

Switch to a different persona
I want you to respond like a senior engineer doing code review
Change your communication style to casual and funny
Set a custom persona: you are a brutally honest editor

---

📖 Wikipedia

Instant encyclopedia lookups — smart search, section-aware summaries, disambiguation handling, and 20+ languages. Zero config required.

✨ What it does

Your LLM gets live access to Wikipedia without any API key or setup. It automatically picks the right detail level, handles ambiguous titles gracefully, and always cites the source URL.

Feature	Detail
🔍 Smart search	Natural language queries work fine
📏 3 detail levels	brief (intro only) · standard (intro + sections) · full (entire article)
🗂️ Section-aware	Structured summaries per section — not a wall of text
⚠️ Disambiguation	Shows options when a title matches multiple articles
🌍 20+ languages	Just write in your language — it auto-detects
🔗 Always cited	Every response includes the Wikipedia source URL
🔑 Zero config	Uses the free public MediaWiki API

🗣️ Example prompts & supported languages

Who is Ada Lovelace?
Explain how black holes work
Tell me everything about the Apollo program
Search Wikipedia for quantum entanglement
¿Quién es Simón Bolívar?

Supported languages: en fr de es it pt nl sv uk fa ja zh ar ko ru pl tr he vi id

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🌌 Omniscient Orchestrator

Stop getting generic answers. Make your LLM pause, ask the right questions, pick a strategy — then produce something genuinely tailored to your goal.

✨ What it does

Most LLMs dive straight into an answer, missing context that would have changed everything. The Orchestrator forces a structured 4-phase workflow: understand → clarify → strategise → execute.

Phase	What happens
🔹 Phase 1 — Analyse	Maps your request, identifies gaps and ambiguities
🔹 Phase 2 — Clarify	Asks up to 3 targeted questions via input modals
🔹 Phase 3 — Strategise	Presents 3 distinct execution approaches to choose from
🔹 Phase 4 — Execute	Generates output with all context locked in

Built-in guardrails: max 3 questions, always skippable, always moves forward — no infinite loops.

🗣️ Best for

Writing long-form content (articles, landing pages, scripts, reports)
Brainstorming with structured creative options
Planning projects or technical roadmaps
Any prompt where you'd normally need 3 rounds of re-prompting

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😂 Joke Tool

Give your AI a sense of humour — 300+ curated programmer jokes, live API fetching, and batch delivery on demand.

✨ What it does

A carefully curated vault of programmer humor — Git puns, deep-cut coding jokes, and classic one-liners — plus live fetching from jokeapi.dev when you want something fresh.

Feature	Detail
🃏 300+ jokes	Curated vault: Git puns, coding humor, dev classics
🌐 Live mode	Fetches fresh jokes from jokeapi.dev on request
🔢 Batch support	Ask for 1 joke or a specific number
🛡️ Offline-safe	Always falls back to internal library if API is down

🗣️ Example prompts

Tell me a joke
Give me 3 fresh jokes from the internet
Hit me with a random Git pun
Tell me 5 programming jokes

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💾 VRAM Unload

Free your GPU memory without leaving the chat — one action button that detects loaded models and unloads them from VRAM instantly via the llama.cpp router API.

✨ What it does

Running llama.cpp in router mode means models stay resident in VRAM until you explicitly unload them. This action button insantly clean the model from VRAM.

Feature	Detail
🔍 Auto-detects loaded models	Queries /v1/models and filters to currently loaded ones
🔁 Multi-model support	Unloads every loaded model in one click if multiple are resident
📡 Live status updates	Status messages as each model unloads, success/error per model
🔑 Zero dependencies	Pure aiohttp — nothing extra to install

⚙️ Setup (1 step)

Set LLAMACPP_BASE_URL in the action valves to your llama.cpp router server:

http://127.0.0.1:8080

That's it. The action button appears in the chat toolbar — click it any time to free VRAM.

**Requires llama.cpp running in router mode (llama-server).

🛠️ Troubleshooting

Symptom	Fix
❌ "Cannot reach llama.cpp"	Check LLAMACPP_BASE_URL is correct and the server is running
ℹ️ "No models currently loaded"	No models are resident in VRAM — nothing to unload
❌ HTTP 404 on unload	Make sure llama.cpp is started in router mode, not single-model mode
❌ HTTP 4xx/5xx	Check llama.cpp logs for the specific error

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🔍 RTX Image Upscaler

Upscale any image up to 4× using NVIDIA RTX Video Super Resolution — hardware-accelerated AI upscaling running locally in ComfyUI, with the result embedded directly in chat. NVIDIA GPU required.

✨ What it does

Drop any image into the chat, ask to upscale it, and get a sharpened high-resolution version back as an attachment — all without leaving the conversation. Powered by NVIDIA's RTX Video Super Resolution running inside ComfyUI, the tool handles image upload, workflow execution, result retrieval, and chat embedding automatically. Choose 1×, 2×, 3×, or 4× — default is always 4× ULTRA for maximum quality.

Feature	Detail
🔍 Up to 4× upscale	1×, 2×, 3×, or 4× multiplier — defaults to 4× ULTRA if not specified
⚡ RTX hardware acceleration	Uses NVIDIA's native VSR tensor cores — on a 3090 Ti the full round-trip (input → LLM → upscaled output) takes ~1 second
📎 Persistent attachment	Result embedded as a file attachment — survives in chat history, never flashes and disappears
🧹 VRAM cleanup	Optional UnloadAllModels node after each run to free GPU memory
🔁 Fallback resilience	Tries OWUI file store first, falls back to base64 data URI if upload fails
🔑 Zero API keys	Fully local — no cloud, no accounts, no cost per image

⚙️ Prerequisites

This tool requires a ComfyUI workflow to be set up before use.

1. NVIDIA GPU with RTX — RTX Video Super Resolution is an NVIDIA-only feature (RTX 20 series or newer). AMD and Intel GPUs are not supported.
2. ComfyUI running locally with the RTXVideoSuperResolution custom node installed.
3. Download and run the RTX upscale workflow in ComfyUI at least once before using this tool — this ensures the node is loaded and the workflow is validated on your hardware.

Then configure the tool valves:

Valve	Default	What it does
comfyui_url	http://localhost:8188	ComfyUI HTTP endpoint
owui_internal_base	http://localhost:8080	Internal OWUI URL for file serving
unload_models_after_run	true	Free VRAM after each upscale
max_wait_seconds	300	Timeout before giving up on a slow job

Per-user overrides (UserValves):

Setting	Default	Note
default_scale	4	Fallback multiplier if the LLM doesn't specify one
unload_models_after_run	true	Override the admin VRAM setting per user

🗣️ Example prompts

upscale this image
make this photo sharper
enhance the resolution
upscale 2x
make it bigger — use scale 3

⚠️ Requirements & limitations

• NVIDIA RTX GPU only — this uses NVIDIA's proprietary RTX Video Super Resolution. It will not work on AMD, Intel, or non-RTX NVIDIA cards.
• ComfyUI must be running with the RTXVideoSuperResolution custom node installed and the upscale workflow loaded at least once.
• Large images at 4× can produce very large output files — allow extra time on lower-end RTX cards.

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🛠️ Installation

All tools install the same way — takes about 30 seconds.

1. Open Workspace → Tools in Open WebUI
2. Click ➕ Add Tool
3. Paste the script, or use one-click import from the marketplace
4. Click Save
5. Enable it in any chat via the 🔧 Tools toggle

💡 Tip: Enable only the tools you need in each chat — keeping the tool list focused helps the LLM pick the right one every time.

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📜 License

All tools are released under the MIT License — free to use, fork, modify, and publish.

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👤 About Me

Just a guy obsessed with AI — LLMs, image gen, music gen, all of it. Learning something new every day and loving every second of it.

I've been using Open WebUI daily for a while now. At some point I stopped just using it and started asking what if it could do more? What started as scratching my own itch — adding features I personally wanted — turned into this collection. If I'm building it anyway, might as well share it with everyone else who wants to jump in and push their setup further.

I'll be honest — I'm not an amazing coder. These tools are built with Claude doing the heavy lifting on the code, while I handle the ideas, the direction, the debugging, and making sure everything actually works the way I want it to. It's a collaboration, and honestly it's the most fitting thing in the world: AI tools, built with AI. If that's not proof that this stuff is genuinely useful, I don't know what is.

Everything here is open source, built in the open, and made with genuine love for the community. If a tool saves you time or sparks an idea, that's exactly why it exists.

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💡 Inspiration & Credits

This project wouldn't exist without Haervwe's open-webui-tools.

Haervwe's collection is what got me building my own tools in the first place — seeing what was possible sparked the whole thing. We've also collaborated directly, which shaped several ideas here. If you're looking for even more great Open WebUI tools, their repo is absolutely worth a visit.

🙏 Big thanks to @Haervwe for the inspiration and the collaboration.

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Made with ☕ by ichrist · powered by Claude

⭐ If these tools save you time, a star goes a long way!