<Summarizes what the project addresses and solves, the target audience, and the benefit.> LlmTornado is a .NET library designed for building AI agents and multi-agent systems. It addresses the complexity of integrating with over 100 different Large Language Model (LLM) APIs by providing a unified toolkit. This library benefits developers by simplifying cross-provider compatibility, enabling robust agent orchestration, and supporting multimodal inputs, ultimately accelerating the development of sophisticated AI applications.

How It Works

LlmTornado acts as an abstraction layer over numerous LLM providers, including OpenAI, Anthropic, Google, and many others. Its core approach involves normalizing API interactions, automatically adapting requests to comply with provider-specific rules and parameter limitations, and offering first-class support for local deployments via vLLM and Ollama. This design allows developers to switch between models seamlessly and leverage unique provider features through strongly-typed "Vendor Extensions," enhancing flexibility and reliability. The ToolkitChat primitive further enables graph-based workflows and agent chaining.

Quick Start & Requirements

• Primary install: dotnet add package LlmTornado.Toolkit
• Prerequisites: .NET SDK. API keys are required for commercial LLM providers.
• Links: The project's GitHub repository serves as the primary resource for documentation and examples.

Highlighted Details

• Supports 100+ LLM APIs, including Anthropic, Azure, Cohere, DeepInfra, DeepSeek, Google, Groq, Mistral, Ollama, OpenAI, OpenRouter, Perplexity, vLLM, Voyage, and xAI.
• Features "Maximize Request Success Rate" by tracking and modifying requests for model parameter compatibility.
• Fully multimodal support for text, images, videos, documents, URLs, and audio inputs.
• ToolkitChat primitive facilitates graph-based workflows, streaming, rich responses, and tool call chaining with fallback model strategies.
• Provides strongly-typed access to unique provider-specific APIs via "Vendor Extensions."

Maintenance & Community

The library has seen significant adoption, with over 50,000 installs on NuGet (under previous names) and is used in commercial projects processing over 100 billion tokens monthly. It is supported by over 250 tests, indicating a focus on stability and quality. Contributions for new provider implementations and abstractions are welcomed.

Licensing & Compatibility

This library is licensed under the permissive MIT license, which generally allows for commercial use and integration into closed-source projects without significant restrictions. The project explicitly states the license will not change.

Limitations & Caveats

For production environments, developers are advised to implement robust error handling, such as using try-catch blocks around API calls or utilizing the GetResponseRichSafe() API, which is guaranteed not to throw on the network level. Some provider integrations, particularly those lacking strict JSON schema support, may use fallbacks that could introduce subtle differences in behavior.