💡 摘要
LLM Tornado是一个用于构建和部署AI代理和工作流的.NET SDK,具有广泛的API集成。
🎯 适合人群
希望简化代理创建的AI开发者希望集成AI工作流的企业需要多模态处理工具的数据科学家对快速AI开发感兴趣的软件工程师探索AI能力的技术爱好者
🤖 AI 吐槽: “看起来很能打,但别让配置把人劝退。”
安全分析中风险
风险:Medium。建议检查:是否执行 shell/命令行指令;是否发起外网请求(SSRF/数据外发);API Key/Token 的获取、存储与泄露风险。以最小权限运行,并在生产环境启用前审计代码与依赖。
LLM Tornado
Build AI agents and workflows in minutes with one toolkit and built-in connectors to 25+ API Providers & Vector Databases.
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, 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), andAdvancer(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.
- MCP: Connect agents to data sources, tools, and workflows via Model Context Protocol with
- 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.
🔥 News 2026
- 26/01 - Ivy Framework uses
LlmTornado.Agentsto build their AI Components./ocrendpoint is implemented for Mistral./filesendpoint support is extended to all supported providers.
News 2025
- 25/12 - Upstage connector is implemented.
/batchendpoint is implemented for OpenAI, Anthropic, and Google./videosendpoint now supports OpenAI/Sora. - 25/11 - Flowbite Blazor uses LLM Tornado to build their AI Chat WASM component. Requesty connector is implemented.
/tokenizeendpoint 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
/responsesexclusive models from/chatendpoint. - 25/04 - New connectors to DeepInfra, DeepSeek, and Perplexity are added.
- 25/03 - Assistants are implemented.
- 25/02 - New connectors to OpenRouter, Voyage, and xAI are added.
- 25/01 - Strict JSON mode is implemented, Groq and Mistral connectors are added.
⭐ 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)](https://github.com/lofcz/LlmTornado/blob/cfd47f915584728d9a23
五维分析
清晰度8/10
创新性9/10
实用性9/10
完整性8/10
可维护性7/10
优缺点分析
优点
- 支持多种API提供商
- 促进AI代理的快速开发
- 提供多模态输入/输出能力
- 与现有的.NET应用程序集成良好
缺点
- 可能需要熟悉.NET
- 协调多个代理的复杂性
- 初学者可能有陡峭的学习曲线
- 高级功能的文档有限
相关技能
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版权归原作者所有 lofcz.
