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AI & MACHINE LEARNING PROGRAM • LEVEL 22 — GENERATIVE AI, RAG & AGENTS

Route an Agent Tool with Python

Learn route an agent tool with python with a short, executable Python example.

IntermediateAgentTool routing

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
calculator

COMPLETE PYTHON PROGRAM

Complete Python implementation

ai-ml-22-tool-routing.py
Open in compiler
request='calculate 12 * 8'
tool='calculator' if 'calculate' in request else 'search'
print(tool)

GUIDED CODE TOUR • NOT LIVE EXECUTION

Study the program line by line

Use the real compiler button above to run and debug with different inputs.

CURRENT STEP

Select Start to walk through the important lines.

SELECTED LINE

No line selected

EXPECTED OUTPUT FOR THE SAMPLE

calculator
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Initialize the sample values used to route an agent tool.
  2. Apply Agent and Tool routing to compute the required result.
  3. Display the result for route an agent tool and compare it with the documented sample output.

This example of route an agent tool computes the result directly from the prepared sample data. It demonstrates Agent and Tool routing and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(n)

Auxiliary space

O(1)

DEBUGGING CHECKLIST

Common mistakes

Check this

For route an agent tool, keep the data shape and value types consistent with Agent.

Check this

Keep every dependent statement inside the correct indented Python block.

Check this

Verify the final Agent and Tool routing result against the sample before trying new data.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.