AgentRunKit Swift Framework

Example Use Cases

• 1

  Type-safe tool integration with LLMs in Swift applications.

• 2

  Run on both cloud APIs and local on-device models seamlessly.

• 3

  Advanced features like streaming, reasoning, and multimodal input support.

Description

AgentRunKit enables developers to create AI agents that integrate large language models (LLMs) with strongly-typed tools, supporting both cloud and on-device inference. It offers zero dependencies, async/await support, and compatibility with multiple LLM providers including OpenAI, Anthropic, and local MLX models. The framework facilitates advanced features like streaming, reasoning models, conversation history, and multimodal input, making it ideal for building sophisticated AI assistants in Swift.