Agentic AI Class 4: Build Your First AI Agent from Scratch in Python
Автор: SNIGDHA JYOTSNA- Family Algorithm Dojo
Загружено: 2026-01-15
Просмотров: 2
Welcome to Day 4 of our Agentic AI series! Today, we move from theory to implementation. We are building a Financial Analyst Agent using nothing but pure Python.
In this lesson, we take the PECAR (Perception, Reasoning, Action, Reflection) loop we learned in Class 3 and turn it into working code. You will see how an Agent manages its "Internal Thought Process," calls external tools, and handles errors when things go wrong.
What you will learn today:
Manual Reasoning Loops: How to simulate an Agent's "Thought" process using Python functions.
Tool Integration: Creating mock API tools like search_stock_data and summarize_news.
Agent Memory: Using Python Lists and Dictionaries to track every step of the Agent's journey.
Decision Logic: How the Agent uses Reflection to decide if it can proceed or if it needs to stop.
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