Go from a single API call to a working tool-using agent with a clear loop, real code, and safety rails.
AI & PromptsPDF · 16 pages· v1.0
4.5A hands-on guide that takes you from 'I can call an LLM API' to 'I have a working agent that uses tools to get real things done.' It explains what an agent actually is (and isn't), then walks you through building one in plain Python with annotated code you can run. This is for developers who are comfortable with basic Python and HTTP requests but haven't built an agent loop before. You do not need a machine-learning background. You need an API key from any major LLM provider and about an hour. The guide demystifies the core idea: an agent is a loop where the model decides which tool to call, your code runs that tool, and the result is fed back until the task is done. You'll build that loop from scratch so you understand every moving part, then learn where frameworks fit once you've outgrown the hand-rolled version. After finishing, you'll be able to define tools the model can call, parse and execute tool calls safely, handle multi-step tasks, add stopping conditions so the agent doesn't loop forever, and reason about cost and failure modes. The example builds a small research-and-summarize agent, but the pattern transfers to any domain. The guide is provider-neutral in concepts and shows the tool-calling pattern that current models support. Delivered as a single Markdown file with copy-paste code blocks.
The concepts are provider-neutral. The code uses the standard tool-calling pattern (the model returns a structured request to call a named function with arguments) that current major providers support; you adapt the client call to your provider's SDK.
No. You need basic Python and the ability to make API calls. The guide treats the model as a black box you send messages to.
The opposite. You build the loop by hand first so you understand it, then the guide explains when a framework helps and what to evaluate.
A few cents. The example tasks are small. The guide includes a cost-control checklist so you don't get surprised.
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