From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop

Jordi de la Torre

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arXiv · 2506.10021

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop

Jordi de la Torre

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Abstract

We propose a novel architecture for integrating large language models (LLMs) with a persistent, interactive Lisp environment. This setup enables LLMs to define, invoke, and evolve their own tools through programmatic interaction with a live REPL. By embedding Lisp expressions within generation and intercepting them via a middleware layer, the system allows for stateful external memory, reflective programming, and dynamic tool creation. We present a design framework and architectural principles to guide future implementations of interactive AI systems that integrate symbolic programming with neural language generation.

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Jordi de la Torre. 2025-06-08. From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop. https://arxiv.org/abs/2506.10021

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