ProjectBuild an Agentic Content Studio: the explanation · Module 8: The agent pipeline with LangGraph · part 10 of 22
Part 10 · Module 8: The agent pipeline with LangGraph
Module 8: The agent pipeline with LangGraph
23 min read·
About 45 minutes · Needs: Module 2 (the solution: one prompt, three agents, one spec), Module 5 (the low-level design of the deck spec) · Code: backend/app/ai/pipeline.py, backend/app/ai/context.py
Where this fits
The pipeline (blue: this module) runs the three agents and the layout check in order, calls the model (amber) through each agent, and is started by the job runner.
The job runner starts a generation and hands it to the pipeline. The pipeline decides which agent runs when, what each one receives, and what happens when one of them fails.
The rest of this project is yours to keep
This project is bought on its own, once, and stays readable afterwards, including the parts added to it later.