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Using LLM in the shebang line of a script

TIL: Using LLM in the shebang line of a script Kim_Bruning on Hacker News : But seriously, you can put a shebang on an english text file now (if you're sufficiently brave) [...] This inspired me to look at patterns for doing exactly that with LLM . Here's the simplest, which takes advantage of LLM fragments : #!/usr/bin/env -S llm -f Generate an SVG of a pelican riding a bicycle But you can also incorporate tool calls using the -T name_of_tool option: #!/usr/bin/env -S llm -T llm_time -f Write a haiku that mentions the exact current time Or even execute YAML templates directly that define extra tools as Python functions: # !/usr/bin/env -S llm -t model : gpt-5.4-mini system : | Use tools to run calculations functions : | def add(a: int, b: int) -> int: return a + b def multiply(a: int, b: int) -> int: return a * b Then: ./calc.sh 'what is 2344 * 5252 + 134' --td Which outputs (thanks to that --td tools debug option): Tool call: multiply({'a': 2344, 'b': 5252}) 12310688 Tool call: add({'a': 12310688, 'b': 134}) 12310822 2344 × 5252 + 134 = **12,310,822** Read the full TIL for a more complex example that uses the Datasette SQL API to answer questions about content on my blog. Tags: llm , llm-tool-use , llms , ai , generative-ai