Functions

OpenAI o1-pro & o3-pro Integration for Open Web UI

Anthropic Manifold Pipe

An optimized streaming-enabled pipeline for interacting with N8N workflows, consistent response handling for both streaming and non-streaming modes, robust error handling, and simplified status management. Supports Server-Sent Events (SSE) streaming and various N8N workflow formats. Now includes configurable AI Agent tool usage display with three verbosity levels (minimal, compact, detailed) and customizable length limits for tool inputs/outputs (non-streaming mode only).

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

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

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. Azure AI Search (RAG) integration is only supported with Azure OpenAI endpoints.

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)

Automatically store relevant information as Memories.

Highly optimized Google Gemini pipeline with advanced image generation capabilities, intelligent compression, and streamlined processing workflows.

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

Adds the assistant message to users memories

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

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

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

Function to use HF models on Open-WebUI

Auto-Tool function with extras

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

Adaptive Memory enables **dynamic, evolving, personalized memory** for LLMs in OpenWebUI, making conversations more natural and responsive over time.

SMART is a sequential multi-agent reasoning technique.

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

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

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

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

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.

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

flick your brain bean with a proper AI research implementation

Pipe to connect with Azure OpenAI models

Auto memory

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

Perplexity API Manifold

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

Gemini Manifold Pipe

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

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

Create and Edit images with gpt-image-1

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

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

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

Access the full suite of OpenRouter models directly within OpenWebUI with support for citations and reasoning tokens.

Save outputs locally on your computer.

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.

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.

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.

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

The original function made by Balaxxe modified to stream CoT tokens

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

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.

Google AI Studio (Gemini) Integration for OpenWebUI

Funtion Pipe made to use python mcp servers on open-webui.

example action

Takes a promt an makes a sctructured plan and folows it orderly, uses task decomposition and your imported tools

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

Mixture of Expert Agents

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

Example Pipe Function to utilize LangChain

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