A2A SDK is a developer toolkit for building, chaining, and managing AI agents in Python. It provides APIs to define agent behaviors via prompts or code, connect agents into pipelines or workflows, and enable asynchronous message passing. Integrations with OpenAI, Llama, Redis, and REST services allow agents to fetch data, call functions, and store state. A built-in UI monitors agent activity, while the modular design ensures you can extend or replace components to fit custom use cases.

Local LLM with Function Calling allows developers to create AI agents that run entirely on local hardware, eliminating data privacy concerns and cloud dependencies. The framework includes sample code for integrating local LLMs such as LLaMA, GPT4All, or other open-weight models, and demonstrates how to configure function schemas that the model can invoke to perform tasks like fetching data, executing shell commands, or interacting with APIs. Users can extend the design by defining custom function endpoints, customizing prompts, and handling function responses. This lightweight solution simplifies the process of building offline AI assistants, chatbots, and automation tools for a wide range of applications.