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AI Agents · Lesson

Reading and Writing Files in Agent Context

open(), pathlib.Path, reading CSV/JSON/TXT files from agent tools.

Why File I/O Matters for Agents

Agents frequently need to read configuration, store intermediate results, and write output reports. Python provides two primary ways to work with files: the built-in open() function and the modern pathlib module. Both are essential to know.

Every file operation should use a context manager (with statement) to ensure the file is closed even if an error occurs.

# Two ways to read a file

# Traditional open()
with open('config.txt', 'r', encoding='utf-8') as f:
    content = f.read()

# Modern pathlib
from pathlib import Path
content = Path('config.txt').read_text(encoding='utf-8')

print(content)

Reading Files with open()

The open() function takes a filename and a mode. For reading text, use mode 'r'. You can read the entire file at once with .read(), line by line with .readline(), or all lines into a list with .readlines().

Always specify encoding='utf-8' to avoid platform-specific encoding surprises.

# Read entire file at once
with open('report.txt', 'r', encoding='utf-8') as f:
    full_text = f.read()
    print(f'Read {len(full_text)} characters')

# Read line by line (memory-efficient for large files)
with open('large_log.txt', 'r', encoding='utf-8') as f:
    for line in f:  # iterate directly over file object
        line = line.rstrip('\n')
        if 'ERROR' in line:
            print('Found error:', line)

# Read all lines into a list
with open('tasks.txt', 'r', encoding='utf-8') as f:
    tasks = f.readlines()  # includes '\n' at end of each
    tasks = [t.strip() for t in tasks]

All lessons in this course

  1. Reading and Writing Files in Agent Context
  2. Directory Traversal and File Discovery
  3. File Format Handling: CSV, JSON, and TXT
  4. Safe File Operations with Error Handling
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