LLMs Take the Stage in Script Execution

A fascinating development allows developers to use Large Language Models (LLMs) directly in shebang lines, transforming how scripts are executed.

This capability leverages tools like Datasette’s LLM framework, which enables natural language instructions to trigger code execution. For instance:

#!/usr/bin/env -S llm -f Generate an SVG of a pelican riding a bicycle

Advanced Functionality with Tool Calls

The real power emerges when integrating tool calls using the -T option:

#!/usr/bin/env -S llm -T llm_time -f Write a haiku that mentions the exact current time

This allows LLMs to interact with external APIs and functions, expanding their capabilities beyond simple text generation.

Complex Calculations with YAML Templates

For more sophisticated workflows, you can define custom tools within YAML templates:

def add(a: int, b: int) -> int:
  return a + b
def multiply(a: int, b: int) -> int:
  return a * b

Then execute calculations like this:

./calc.sh 'what is 2344 × 5252 + 134' --td

The --td (tools debug) option provides transparency into how the LLM utilizes these tools to arrive at its answer.

This approach opens up exciting possibilities for creating interactive command-line interfaces and automating complex tasks with natural language inputs. Imagine querying your blog content, performing calculations, or generating dynamic reports all from a single script.