A provider-agnostic .NET SDK for building, orchestrating, and deploying AI agents and workflows with built-in connectors to 25+ API providers and vector databases.
One-Minute Overview#
LLMTornado is a powerful .NET development toolkit that enables developers to quickly build AI agents and workflows. Whether you're developing simple chatbots or autonomous coding assistants, LLMTornado provides the necessary tools with unparalleled integration into the AI ecosystem. It supports multiple AI providers, vector databases, and offers enterprise-grade features and protocol support.
Core Value: Simplifies AI development through a unified interface, supports multiple AI providers and local deployments without relying on first-party SDKs.
Getting Started#
Installation Difficulty: Low - Easy installation via NuGet with intuitive API interfaces
# Basic installation
dotnet add package LlmTornado
# Optional components
dotnet add package LlmTornado.Agents # Agent framework
dotnet add package LlmTornado.Mcp # Model Context Protocol integration
dotnet add package LlmTornado.A2A # Agent-to-Agent integration
dotnet add package LlmTornado.Microsoft.Extensions.AI # Semantic Kernel interoperability
dotnet add package LlmTornado.Contrib # Productivity enhancements
Is this suitable for my scenario?
- ✅ Multi-provider AI development: Projects that need to switch between different AI services
- ✅ Enterprise-grade AI systems: Formal applications requiring security controls and monitoring
- ✅ Local AI deployment: Applications that need to run AI models locally
- ❌ Simple AI integration: Lightweight projects without advanced functionality needs
- ❌ Single AI provider scenarios: Projects that only use one AI service
Core Capabilities#
1. Multi-Provider Support - Eliminate AI Provider Lock-in#
- Supports 25+ AI providers including OpenAI, Anthropic, Google, Azure, Alibaba
- Provides strongly-typed code access to all unique features without first-party SDK dependencies
- Easy provider switching by simply changing the model name Actual Value: Avoid vendor lock-in, freely switch between AI services based on needs or costs
2. Agent Orchestration - Coordinate professional agents for complex tasks#
- Uses three core concepts: Orchestrator (graph), Runner (node), and Advancer (edge)
- Supports handoffs, parallel execution, Mermaid export, and builder patterns Actual Value: Enables AI systems to autonomously execute multi-step complex tasks like code review, document analysis
3. Multimodal Support - Process various input/output formats#
- Supports text, images, videos, documents, URLs, and audio for both input and output Actual Value: Build AI applications that can understand and generate multimedia content, such as multimodal chatbots, content analysis systems
4. Protocol Support - Integrate with cutting-edge AI ecosystem technologies#
- Supports MCP (Model Context Protocol), A2A (Agent-to-Agent), and Skills protocols Actual Value: Seamless integration with latest AI technology standards, extending connectivity and functionality
5. Vector Database Integration - Enhance AI data processing capabilities#
- Built-in connectors to Chroma, PgVector, Pinecone, Faiss, and QDrant Actual Value: Easy implementation of semantic search, retrieval-augmented generation (RAG), and knowledge base features
Technical Stack & Integration#
Development Language: C# Main Dependencies: .NET 6+, no external AI provider SDK dependencies Integration Method: NuGet package library, supports Microsoft.Extensions.AI integration
Ecosystem & Extensions#
- Plugins/Extensions: Dynamically load instructions, scripts, and resources via Skills protocol
- Integration Capabilities: Interoperates with Semantic Kernel, supports Microsoft.Extensions.AI, provides enterprise integration options
Maintenance Status#
- Development Activity: Actively maintained with continuous feature and provider additions in 2025-2026
- Recent Updates: Recent additions include new AI providers, new protocols, and enhanced functionality
- Community Response: Adopted by several notable projects including Ivy Framework, Flowbite Blazor, etc.
Documentation & Learning Resources#
- Documentation Quality: Comprehensive
- Sample Code: Provides complete examples for various use cases including document chat, podcast creation, voice calls
- Official Website: Accessible through README link