Build an AI Agent from Scratch: 50 Lines of Python to Understand Core Concepts
🩺 Summary
Build a thinking, tool-using AI agent in pure Python + OpenAI API - zero frameworks, 50 lines, complete understanding.
📝 Details
## The Agent Core Loop
1. Receive user input
2. LLM decides: answer directly or use a tool?
3. If tool needed -> call tool -> feed result to LLM -> back to step 2
4. If direct answer -> output to user
```python
def run_agent(user_input):
messages = [{'role': 'user', 'content': user_input}]
for _ in range(5):
response = client.chat.completions.create(
model='gpt-4o-mini', messages=messages, tools=tools)
msg = response.choices[0].message
if msg.tool_calls:
# execute tool
pass
else:
return msg.content
```
Agent = LLM + Tools + Loop. Master these 50 lines and any framework becomes just configuration.
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