Is LLMTornado free to use?

LLMTornado is open source under the MIT licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does LLMTornado do?

The .NET library to build AI agents with 30+ built-in connectors.

What is LLMTornado written in?

LLMTornado is primarily written in C#. Its source is publicly available at https://github.com/lofcz/LLMTornado, and it has 641 GitHub stars.

LLMTornado: Open Source Orchestration & Scheduling

LLMTornado is a free, open source orchestration & scheduling project written in C# and released under MIT. It has 641 GitHub stars, 115 forks and 14 open issues, and was last pushed 1 months ago. On this registry it ranks #114 of 123 tracked projects in Orchestration & Scheduling, with 5 head-to-head comparisons available.

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.

LLM Tornado in .NET AI Community Standup by Microsoft

✨ Features

Use Any Provider: Built-in connectors to: Alibaba, Anthropic, Azure, Blablador, Cohere, DeepInfra, DeepSeek, Google, Groq, LiteLLM, 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: Coordinate specialist agents that can autonomously perform complex tasks with three core concepts: Orchestrator (graph), Runner (node), and Advancer (edge). Comes with handoffs, parallel execution, Mermaid export, and builder pattern to keep it simple.
Rapid Development: Write pipelines once, execute with any Provider by changing the model's name. Connect your editor to Context7 or FSKB to accelerate coding with instant access to vectorized documentation.
Fully Multimodal: Text, images, videos, documents, URLs, and audio inputs/outputs are supported.
Cutting Edge Protocols:
- MCP: Connect agents to data sources, tools, and workflows via Model Context Protocol with LlmTornado.Mcp.
- A2A: Enable seamless collaboration between AI agents across different platforms with LlmTornado.A2A.
- Skills: Dynamically load folders of instructions, scripts, and resources to improve performance on specialized tasks.
Vector Databases: Built-in connectors to Chroma, PgVector, Pinecone, Faiss, and QDrant.
Integrated: Interoperability with Microsoft.Extensions.AI enables plugging Tornado in Semantic Kernel applications with LlmTornado.Microsoft.Extensions.AI.
Enterprise Ready: Guardrails framework, preview and transform any request before committing to it. Open Telemetry support. Stable APIs.

➡️ Get started in minutes – Quickstart ⬅️

🔥 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 Asp.net Community Standup. New connectors to Z.ai, Alibaba, and Blablador are implemented.
25/06 - C# delegates as Agent tools system is added, freeing applications from authoring JSON schema manually. MCP protocol is implemented.
25/05 - Chat to Responses system is added, allowing usage of /responses exclusive models from /chat endpoint.
25/04 - New connectors to DeepInfra, DeepSeek, and Perplexity are added.
25/