Build Your First AI Agent in 50 Lines of Python
This article demonstrates how to build a simple AI agent from scratch using the OpenAI SDK, without relying on any frameworks like LangChain. The agent can answer questions by calling external tools and managing the workflow.
Why it matters
This article provides a clear, accessible introduction to building AI agents, which are a fundamental building block of modern conversational AI systems.
Key Points
- 1The agent is built using a while-loop around the OpenAI chat completions API, with additional logic for managing tools and their execution
- 2The article provides the complete 50-line Python code for the agent, which can handle queries like 'what's the weather in Lisbon and what time is it there'
- 3The goal is to show that an agent is not a complex, framework-heavy concept, but rather a simple loop around the same API calls you already know
Details
The article presents a straightforward implementation of an AI agent in Python, using only the OpenAI SDK and no additional frameworks. The agent is built around a while-loop that sends messages to the OpenAI chat completions API and processes the responses. The key additions are a list of 'tools' that the agent can call (in this case, functions to get weather and time information), and the logic to decide which tools to use and when to stop the conversation. The author argues that an agent is not a fundamentally different concept from the basic chat completions API, and that understanding this simple implementation can help demystify more complex agent frameworks like LangChain.
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