Functions

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

Gemini Manifold Pipe

A manifold pipeline for interacting with Google Gemini models, including dynamic model specification, streaming responses, and flexible error handling.

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.

Gemini Manifold Pipe

Google AI Studio (Gemini) Integration for OpenWebUI

Manifold function for Gemini Developer API. Supports native image generation, grounding with Google Search and streaming. Uses google-genai.

A combined pipe that supports Google's Gemini, Anthropic's Claude, Perplexity models, and N8N integration (with status updates and collapsable think elements

Generates image using Gemini 2.0 Flash with Google Genai SDK, stores into static folder and embed into chat

Function for generating images using Google's Imagen 3 model via Gemini AI

Manifold function for Gemini Developer API. Uses google-genai, supports thinking models, native image generation,streaming and grounding with Google Search.

🚀 Complete access to all Anthropic Claude models through Google Vertex AI - including the latest Claude 4 Opus & Sonnet with extended thinking capabilities. ✨ FEATURES: - Claude 4 Opus & Sonnet (Latest 2025 models) - Claude 3.7 Sonnet with extended thinking - All Claude 3.5 & 3.0 models included - Vision support for image analysis - Enterprise-grade security & authentication - Multiple auth methods (Service Account, ADC, Environment) - Extended thinking process visualization - Configurable token limits & temperature 🔧 QUICK SETUP: 1. Set your Google Cloud PROJECT_ID in configuration 2. Enable Vertex AI and Claude models in your GCP project 3. Configure authentication (Service Account JSON or Environment) 4. Start chatting with Claude models! 💡 AUTHENTICATION OPTIONS: - Service Account JSON (paste directly) - GOOGLE_APPLICATION_CREDENTIALS file - Application Default Credentials (ADC) - Environment variables 🎯 PERFECT FOR: - Development teams using Google Cloud - Enterprise deployments requiring Vertex AI - Organizations needing advanced Claude capabilities - Projects requiring vision + text processing ⚡ All Claude models work out-of-the-box with proper GCP setup!

The pipeline implementation for interacting with the Google Gemini API. It allows you to easily send prompts, receive responses, and manage your API keys. Crucially, it includes support for API key rotation, enabling you to seamlessly switch between multiple Gemini API keys for improved reliability, rate limiting management, and key security. This is a robust and feature-rich solution for developers building applications that utilize Google's Gemini models.

This Filter function modifies the request payload for Google Gemini models to disable content safety filters. It adds the 'safety_settings' parameter to the request body with all harm categories set to 'BLOCK_NONE'. This is intended for use cases where Gemini's default filtering is overly restrictive. Use responsibly. Note: This function identifies Gemini models by checking if the model ID starts with 'google/gemini'. This might need adjustment depending on how your specific backend (e.g., OpenRouter, Ollama with LiteLLM Proxy) names the Gemini models.

Replacing web_search tool with google search grounding

Function that integrates Google's Vertex AI Platform using the Imagen 3 model.

Function to generate images from Google AI Imagen 3 model

Creates an event

Sequential multi-agent reasoning technique. Adapted to be used with local models and added Google's Gemini API support.

A manifold pipeline for interacting with Google Gemini and Gemma models, including dynamic model specification, streaming responses, and flexible error handling.

Google TTS Without Google SDK

This code defines an asynchronous interface to invoke Google Vertex AI models along with streaming (like Gemini) using service account credentials for secure API access.