Self-Programmed Execution for Language-Model Agents
At the heart of a language model agent is an orchestrator program which is responsible for the state transition between consecutive turns. In existing systems, this program is implemented in the harness. This paper introduces self-programmed execution (SPE), in which the model completion is itself the orchestrator program, and the harness evaluates this program but does not impose any fixed orchestration policy. Formally, an SPE state of an agentic machine is one from which a model completion can load any successor state up to an embedding, and an instance of an SPE state is one which executes the model completion as a program. In practice, the program requires a language with unusual fea...
| Authors | Luke J. O'Connor |
|---|---|
| Primary category | cs.AI |
| Published | 7 May 2026 |
| Last updated at source | 15 October 2026 |
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