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authorLeonard Kugis <leonard@kug.is>2026-01-31 13:36:46 +0100
committerLeonard Kugis <leonard@kug.is>2026-01-31 13:36:46 +0100
commit4742f1125021f6bc1a2631c6e54cf6365f9d37f6 (patch)
tree48da43ec42b736c6f585bd377ab338a7ace0f6b8
parent616d8d84c5565fdb66d8782ae5ba56d994bfa82a (diff)
downloadllm-functions-docker-4742f1125021f6bc1a2631c6e54cf6365f9d37f6.tar.gz
Initial commit after fork
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-rw-r--r--README.md5
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diff --git a/LICENSE b/LICENSE
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MIT License
Copyright (c) sigoden
+Copyright (C) 2026 Leonard Kugis
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
diff --git a/README.md b/README.md
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# LLM Functions
+This is a fork of original `llm-functions` by `sigoden`.
+It adds additional sandboxing functionality to work with docker containers.
+
+## General
+
This project empowers you to effortlessly build powerful LLM tools and agents using familiar languages like Bash, JavaScript, and Python.
Forget complex integrations, **harness the power of [function calling](https://platform.openai.com/docs/guides/function-calling)** to connect your LLMs directly to custom code and unlock a world of possibilities. Execute system commands, process data, interact with APIs – the only limit is your imagination.