How to Build an Advanced Agentic AI System with Planning, Tool Calling, Memory, and Self-Critique Using OpenAI API

Key Takeaways

• The article demonstrates how to build a sophisticated AI system using the OpenAI API and internal knowledge base.
• A hidden terminal prompt for the API key is used to keep authentication details secure.
• A small pipeline of specialized roles (planner, executor, critic) is designed to separate strategy, action, and quality control.
• Structured tools such as a calculator, JSON extractor, mini knowledge base search, and file writer are integrated for reliable computation and artifact management.

We install the OpenAI SDK in a lightweight manner and use `getpass` to keep the API key hidden. A set of predefined tool calls is defined with their schemas to ensure they work correctly within the model’s environment.

The article details how these tools are registered, their schemas declared, and an agent state class created to track the agent’s progress. The planner role generates a structured plan from the goal, while the executor performs tasks using the provided tools. A critic role is introduced for quality assurance by providing feedback on the execution.

This approach allows for a more robust and reliable AI system capable of handling complex tasks through a series of interactions with both the model and external tools.

Originally published at marktechpost.com. Curated by AI Maestro.

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