From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913889525956608 |
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| author | de la Torre, Jordi |
| author_facet | de la Torre, Jordi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_10021 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop de la Torre, Jordi Programming Languages Artificial Intelligence 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. |
| title | From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop |
| topic | Programming Languages Artificial Intelligence |
| url | https://arxiv.org/abs/2506.10021 |