Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
Data Science
Towards Data Science·Aug 24·5 min read
Put Your Own Logic Inside the Codex Agentic Loop
TL;DR
Codex now allows developers to integrate their own logic into the agentic loop, enhancing its adaptability and functionality. This innovation enables more tailored AI interactions in various applications.
✦ Why It Matters
Start integrating custom logic into Codex today to enhance your AI-driven applications.
Key Takeaways
- Use hooks to customize Codex's task execution.
- Implement quality checks to validate research outputs.
- Leverage the Stop hook for iterative improvements.
- Define clear criteria for research quality assurance.
How It Works
Codex hooks attach custom scripts to specific events in the agentic loop, such as SessionStart or Stop. By configuring these hooks, users can execute logic at critical points, like validating outputs before finalization.
For instance, a Stop hook can check if a research brief meets predefined quality standards, allowing Codex to refine its results based on feedback.