Show HN: Production-grade LangGraph template (github.com)

A new production-grade template for building multi-agent LangGraph systems has been launched, featuring a robust FastAPI API, domain packs, and essential infrastructure support like Docker, Helm, and Terraform. The framework allows ML and data engineers to set up a fully deployable agent stack without relying on notebooks for demos. Key functionalities include session history, cost tracking, and the ability to run deterministic outputs via a built-in mock provider, making it ideal for testing and continuous integration workflows. This template is significant for the AI/ML community as it provides teams with a self-hosted, customizable solution that enables full control over observability and resource costs without vendor lock-in. By including features such as rate limiting, input validation, and Prometheus metrics, the template addresses crucial production concerns. Developers can create diverse agent workflows using predefined domain packs that cover various applications, such as research and analysis, thus streamlining the development process. The choice between self-hosting and opting for a managed LangGraph platform allows teams to make informed decisions based on their infrastructure preferences.