From Natural Language to Reliable Data Pipelines: Building an AI-Powered CLI for Apache SeaTunnel

Modern DataOps is not only about moving data faster, but also about making pipeline development easier, safer, and more accessible to engineers and data teams. In this talk, I will introduce seatunnel-cli, a new Python-based CLI for Apache SeaTunnel that generates HOCON pipeline configurations directly from natural language descriptions in both English and Chinese.The tool is designed as an AI-powered multi-agent workflow: Planner, Config Generator, Validator, and Auto-fix. It combines a three-tier knowledge base, a connector catalog automatically generated from SeaTunnel Java source code, dry-run validation, and iterative repair to help users produce runnable pipeline configurations with less manual effort. It also supports multiple LLM providers, persistent session memory, interactive exploration, and single-shot scripting usage.I will share the technical design behind the CLI, including how we extract and resolve connector metadata at scale, how validation and auto-fix loops improve configuration quality, and how this approach can reduce the barrier to building SeaTunnel jobs in real-world DataOps scenarios. The session will also cover practical lessons from testing across multilingual inputs, multiple model providers, and broken-config recovery cases.

Speakers:

Xin Zhang: Amaozn Web Services, Solution Architect

Xin Zhang is an AWS Solutions Architect, responsible for solution consulting and design based on the AWS Cloud platform. He has a rich experience in R&D and architecture practice in the fields of system architecture, data warehousing, and real-time computing.