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Apache Airflow0 Hot0 bình luận14 phút đọc
Agentic Workloads on Airflow: Observable, Retryable, and Auditable by Design
A deep-dive into building agentic LLM pipelines on Apache Airflow 3 using Dynamic Task Mapping and the apache-airflow-providers-common-ai provider. The post walks through a multi-dimensional survey analysis DAG that fans out four parallel SQL-generation LLM calls, executes them via Apache DataFusion, collects results, and synthesizes a narrative with a second LLM call — all with each step named, logged, independently retryable, and auditable via XCom. The pattern is contrasted with opaque agent harness reasoning loops, highlighting how Airflow's task boundaries enforce SQL Architect/Critic/Narrator role separation and make every intermediate artifact inspectable. The post also covers human-in-the-loop approval via ApprovalOperator and discusses the deliberate tradeoff of DAG acyclicity versus generative feedback loops.
Nguồn: https://airflow.apache.org/blog/agentic-workloads-airflow-3. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
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