LLM Tornado

Build AI agents and workflows in minutes with one toolkit and built-in connectors to 30+ API Providers & Vector Databases.

Official Website

LLM Tornado is a .NET provider-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and workflows. Whether you're building a simple chatbot or an autonomous coding agent, LLM Tornado provides the tools you need with unparalleled integration into the AI ecosystem.

✨ Features

• Use Any Provider: Built-in connectors to: Alibaba, Anthropic, Azure, Blablador, Cohere, DeepInfra, DeepSeek, Google, Groq, MiniMax, Mistral, MoonshotAI, OpenAI, OpenRouter, Perplexity, Requesty, Upstage, Voyage, xAI, Z.ai, and more. Connectors expose all niche/unique features via strongly typed code and are up-to-date with the latest AI development. No dependencies on first-party SDKs. Feature Matrix tracks detailed endpoint support.
• First-class Local Deployments: Run with vLLM, Ollama, or LocalAI with integrated support for request transformations.
• Agents Orchestration: that can autonomously perform complex tasks with three core concepts: (graph), (node), and (edge). Comes with , , export, and to keep it simple.

🔥 News 2026

• 26/02 - MiniMax connector is implemented. Compaction endpoint is added, and can be used along the compaction built-in to LLM Tornado. Started work on ACP.
• 26/01 - Ivy Framework uses LlmTornado.Agents to build their AI Components. /ocr endpoint is implemented for Mistral. /files endpoint support is extended to all supported providers.

News 2025

• 25/12 - Upstage connector is implemented. /batch endpoint is implemented for OpenAI, Anthropic, and Google. /videos endpoint now supports OpenAI/Sora.
• 25/11 - Flowbite Blazor uses LLM Tornado to build their AI Chat WASM component. Requesty connector is implemented. /tokenize endpoint is implemented for all Providers supporting the feature.
• 25/10 - LLM Tornado is featured in dotInsights by JetBrains. Microsoft uses LLM Tornado in Generative AI for Beginners .NET. Interoperability with Microsoft.Extensions.AI is launched. Skills protocol is implemented.
• 25/09 - Maintainers Matěj Štágl and John Lomba talk about LLM Tornado in .NET AI Community Standup. PgVector and ChromaDb connectors are implemented.
• 25/08 - ProseFlow is built with LLM Tornado. Sciobot – an AI platform for Educators built with LLM Tornado is accepted into Cohere Labs Catalyst Grant Program. A2A protocol is implemented.
• 25/07 - Contributor Shaltiel Shmidman talks about LLM Tornado in . New connectors to , , and are implemented.

⭐ Samples

• Chat with your documents
• Make multiple-speaker podcasts
• Voice call with AI using your microphone
• Orchestrate Assistants
• Generate images
• Summarize a video (local file / YouTube)
• Turn text & images into high quality embeddings
• Transcribe audio in real time

⚡Getting Started

Install LLM Tornado via NuGet:

dotnet add package LlmTornado

Optional addons:

dotnet add package LlmTornado.Agents # Agentic framework, higher-level abstractions
dotnet add package LlmTornado.Mcp # Model Context Protocol (MCP) integration
dotnet add package LlmTornado.A2A # Agent2Agent (A2A) integration
dotnet add package LlmTornado.Microsoft.Extensions.AI # Semantic Kernel interoperability
dotnet add package LlmTornado.Contrib # productivity, quality of life enhancements

🪄 Quick Inference

Inferencing across multiple providers is as easy as changing the ChatModel argument. Tornado instance can be constructed with multiple API keys, the correct key is then used based on the model automatically:

TornadoApi api = new TornadoApi([
    // note: delete lines with providers you won't be using
    new (LLmProviders.OpenAi, "OPEN_AI_KEY"),
    new (LLmProviders.Anthropic, "ANTHROPIC_KEY"),
    new (LLmProviders.Cohere, "COHERE_KEY"),
    new (LLmProviders.Google, "GOOGLE_KEY"),
    new (LLmProviders.Groq, "GROQ_KEY"),
    new (LLmProviders.DeepSeek, "DEEP_SEEK_KEY"),
    new (LLmProviders.Mistral, "MISTRAL_KEY"),
    new (LLmProviders.XAi, "XAI_KEY"),
    new (LLmProviders.Perplexity, "PERPLEXITY_KEY"),
    new (LLmProviders.Voyage, "VOYAGE_KEY"),
    new (LLmProviders.DeepInfra, "DEEP_INFR