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When to Use Functions, a Multi-Tool AI Agent, or Multiple Agents
The article explores the evolution from simple function-based LLM applications to complex multi-agent systems, demonstrating how specialized AI agents with specific tools can enhance system performanc
e and scalability. It provides a practical implementation using OpenAI's API, showing both basic function calling and advanced multi-agent orchestration with four specialized agents handling different aspects of data processing and analysis.

Reasons to Read -- Learn:

  • how to implement a practical multi-agent system using OpenAI's API, with concrete code examples showing how to create and orchestrate specialized agents for data processing, analysis, and visualization tasks.
  • progression from simple function-based systems to complex multi-agent architectures, including detailed explanations of how to structure and organize tools for optimal AI system performance.
  • how to use OpenAI's Structured Outputs feature to enforce strict schemas on model outputs, making AI systems more reliable and predictable in real-world applications.
  • author: Cobus Greyling
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