Functions

Anthropic Manifold Pipe

This function makes charts out of data in the conversation and render it in the chat.

在OpwenWebUI中显示DeepSeek R1模型的思维链（仅支持0.5.6及以上版本） / Display the reasoning chain of the DeepSeek R1 model in OpwenWebUI(Only supports versions 0.5.6 and above)

Allows directly searching web engines. Currently Supports SearxNG, DuckDuckGo (Scraping), Google (Scraping). Not any engines that require scraping will rate limit you aggressively.

Run Python code on open webui

Artifacts V2 inspired by Claude Artifacts. Orignal code is from atgehrhardt.

Button that allows for the collective strengths of multiple models to be leveraged in a layered, iterative process, potentially leading to higher quality responses.

Gemini Manifold Pipe

Allows you to chat with an N8N AI Agent workflow within Open WebUI

Adds the assistant message to users memories

A pipeline for interacting with N8N workflows, enabling seamless communication with various N8N workflows via configurable headers and robust error handling. This includes support for dynamic message handling and real-time interaction with N8N workflows. Support API Key encryption.

A filter that pre-processes a user query to match relevant tools and populates the request with matching tool IDs.

A pipeline for interacting with Azure AI services, enabling seamless communication with various AI models via configurable headers and robust error handling. This includes support for Azure OpenAI models as well as other Azure AI models by dynamically managing headers and request configurations. Support API Key encryption.

Updated for OWUI v0.5.4. Monte Carlo Tree Search + Visual feedback. Demo: https://t.ly/FUOZm

Automatically store relevant information in the Memory database. This is based on Creator @devve 's original function.

Auto-Tool function with extras

Function to use HF models on Open-WebUI

SMART is a sequential multi-agent reasoning technique.

Uses Google translation API to translate from a user's native language to the LLM's native language, and back again to the user's.

Chat Metrics: Elapsed Time, Token Meter (Draft Estimation), etc.

A filter for tracking the response time and token usage of a request.

Parses all HTML, CSS, JavaScript, and SVG code in the LLM output and renders it in real time in your chats.

Routes incoming chat requests to a specified vision model if the user's message contains images.

AI Real-Time Enhanced read and understand PDF files uploaded or crawling with Deep Analysis and Structured Thinking

Behave like ChatGPT, and follow dynamic/static learning rules.The AI will autolearn in real-time by processing each user message during a conversation.

Auto memory

Use Deepseek Reasoner & Chat with Realtime Preview of the Thinking Process

OBSOLETE: Please use: https://openwebui.com/f/owndev/azure_ai

Pipe to connect with Azure OpenAI models

This function makes charts out of data in the conversation and render it in the chat. Forked from @u/omar97 to fix new FileForm schema

Perplexity API Manifold

Updated for 0.5+ updated. Think-Respond pipe that has an internal reasoning steps and another for producing a final response based on the reasoning.

Run arbitrary Python or Bash code safely in a gVisor sandbox.

The thought process used to enhance LLMs reasoning capabilities. Adapted from https://github.com/richards199999/Thinking-Claude. It supports the soft insertion of your own new system prompt (it is recommended not to be too long), with a maximum of two system prompts coexisting as the constitution of LLM.

A filter that truncates chat history to retain the latest messages while preserving the system prompt for optimal context management.

An action button to generate speech from text using the ElevenLabs API

Use openai gpt 4o unlimited for free no need of api key

Artifacts V3 inspired by Claude Artifacts. Orignal code is from atgehrhardt. Updated for openwebui v0.5

Simple formatter that transforms <think> labels into collapsible "💭 Thought for X seconds" panels.

Gemini Manifold Pipe

Used to allow small LLMs to to make intention decisions and then dynamically switch between larger LLMs for different tasks. Also allows override based on document types. For example in the even of an image, it will use llava automatically. I will be adding user valves in a future revision to allow easier swapping of models via the UI.

Save outputs locally on your computer.

Uses LlamaIndex NLSQL Query Engines to let you ask questions about the data in your database

Mixture of Expert Agents

The AI can perform a self-training session by searching the internet using the self_train method, which learns from the search results. The AI processes the search results and visits the top websites, extracting content and updating its knowledge base.

VARIOUS BUGS WITH OWUI 0.5.X - Wrap the 'marco-o1' model (or model of your choice) with a ChatGPT-o1 style UX.

Play DOOM in your browser, just don't let the boss catch you!

ReAct agent using existing tools, with streaming and citations. Implemented with LangGraph. Supports LangFuse optionally. Works with both OpenAI and Ollama. Now with model whitelist parameter.

Mixture of Agents pipe

Seamless OpenAI API-native tool calling with streaming and multi-call support

A manifold function to integrate OpenAI's DALL-E models into Open WebUI.

OpenAI ReAct agent using existing tools, with streaming and citations. Implemented with LangGraph.

example action

Enables reasoning tokens for OpenRouter and displays them in OWUI

Example Pipe Function to utilize LangChain

A manifold pipeline for interacting with Infomaniak AI Tools. Support API Key encryption.

Any model can now reflect on it's answer

A function to use flux.1.1.pro model to generate vivid images, with together.ai API key

在OpwenWebUI中显示DeepSeek R1模型的思维链，支持官方API和硅基流动的API

This function allows you to track the costs for GPT Models, if you only use OpenAI models you can enable globally, if not you will want to enable this filter for all the models you want tracked. This will be expanded in the future to allow for all models, currently this writes to a JSON file called user_costing.json -> the plan is to eventually integrate into the admin dashboard.