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Codex hooks enable developers to inject custom logic at specific lifecycle events—such as before tool execution or upon session completion—to enforce quality gates and validate outputs. By defining event triggers, matching rules, and handler actions, users can create iterative workflows that automatically refine results until they meet predefined criteria. This mechanism moves beyond simple prompting, allowing for robust control over agent behavior during complex tasks like deep research.

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Put Your Own Logic Inside the Codex Agentic Loop

Towards Data ScienceAugust 24, 20266 min read

Understanding Codex hooks The post Put Your Own Logic Inside the Codex Agentic Loop appeared first on Towards Data Science.

Most of us customize Codex through prompts. We can describe the task, give instructions, and tell Codex what kind of result we expect. This allows us to control how the agent approaches its work. But sometimes, prompting is not enough. We may want to further customize the execution by running our own logic at different stages of a Codex session. So, how can we do that? The answer is Codex hooks. In this post, we’ll explore the concept of hooks and understand where they fit into the agentic loop. Then, we’ll go through a concrete case study to demonstrate the concept. 1. Understanding Codex hooks When…

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