AI & MACHINE LEARNING PROGRAM • LEVEL 22 — GENERATIVE AI, RAG & AGENTS
Run a Simple Agent Loop with Python
Learn run a simple agent loop with python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
No input required
plan -> retrieve -> answer
COMPLETE PYTHON PROGRAM
Complete Python implementation
steps=['plan','retrieve','answer']
state=[]
for step in steps:
state.append(step)
print(' -> '.join(state))CURRENT STEP
Select Start to walk through the important lines.
SELECTED LINE
No line selected
EXPECTED OUTPUT FOR THE SAMPLE
plan -> retrieve -> answer
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to run a simple agent loop.
- Process the data step by step using Agent loop and Planning.
- Display the result for run a simple agent loop and compare it with the documented sample output.
This example of run a simple agent loop processes the sample values in a controlled iteration. It demonstrates Agent loop and Planning and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
O(n)
O(n)
DEBUGGING CHECKLIST
Common mistakes
For run a simple agent loop, keep the data shape and value types consistent with Agent loop.
Keep every dependent statement inside the correct indented Python block.
Verify the final Agent loop and Planning result against the sample before trying new data.