HelloAgents

Why we included this project

People who worked through the hello-agents tutorial and want to see what a production-grade agent system looks like in code will find HelloAgents useful: it packages that material into an installable Python framework instead of leaving it as scattered API examples. The framework includes a tool registry with a uniform response protocol, context and token budgeting, persistent session stores, a sub-agent task tool, and a circuit breaker, so you can study or borrow these pieces rather than build them from scratch. It talks to OpenAI-compatible services, plus Anthropic and Gemini, through adapters, and the learn_version branch mirrors the tutorial chapter by chapter. That makes it a reasonable starting point both for newcomers following along and for teams sketching out their own agent tooling.