llm-nano-vm v0.8.0 — deterministic FSM runtime for LLM pipelines, now with output validation and per-step timeouts
The latest version of llm-nano-vm, v0.8.0, introduces a deterministic FSM runtime for LLM workflows with new features such as output validation and per-step timeouts. This update enhances the reliability of LLM pipelines by ensuring that models adhere to strict execution rules and cannot bypass critical steps. The new version also includes improved error handling and budget enforcement mechanisms.
- ▪llm-nano-vm v0.8.0 has been released on PyPI, providing a deterministic execution kernel for LLM workflows.
- ▪The update introduces features like output validation against allowed outputs and per-step timeouts to prevent stalled executions.
- ▪The system allows for suspension and resumption of processes, along with enhanced governance and audit capabilities.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3943262) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Alex Delov Posted on May 23 llm-nano-vm v0.8.0 — deterministic FSM runtime for LLM pipelines, now with output validation and per-step timeouts #mlops #backend #opensource #fintech PyPI: pip install llm-nano-vm GitHub: http://github.com/Ale007XD/nano_vm MCP gateway: http://github.com/Ale007XD/nano-vm-mcp I've been building a deterministic FSM execution kernel for LLM workflows. v0.8.0 just shipped to PyPI. Here's what it is, what's new, and where it's going.
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