Agent-to-code JIT compiler for Z3-theorem-proving agents

What it does

Existing agent frameworks run a static while loop where an LLM dispatches tools at each iteration. This is especially error-prone in domains that have hard logical constraints. The Proof of Thought approach ( https://github.com/DebarghaG/proofofthought ) previously demonstrated that a compound system comprised of an LLM and an SMT solver can work wonders. However, such a system need not be specialized for just SMT solver problems. Agent compilers generalize this approach by compiling an agent to code either ahead-of-time (AOT) or just-in-time, optimizing generated code for each unique agent input. from a1 import Agent , Skill , LLM from pydantic import BaseModel class Answer ( BaseModel ):…from github.com

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