LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash
LLM-Manager is a Bash suite designed to manage local and remote inference engines for Large Language Models. It aims to simplify the orchestration of models like Ollama and Llama.cpp without the complexity of heavy dependencies. The system features a modular architecture and dual-output for both human-readable and structured JSON data.
- ▪LLM-Manager is a lightweight orchestration suite written entirely in pure Bash.
- ▪It allows users to manage multiple inference engines with zero cognitive load and no runtime dependencies.
- ▪The system is cross-platform, running seamlessly on both Linux and Windows/WSL2 environments.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/bumbulik0/llm-manager-orchestrating-ollama-and-llamacpp-with-pure-bash-181p |
| Publication time | Fri, 29 May 2026 08:16:54 +0000 |
| Retrieval time | 2026-05-29T08:19:59.400Z |
| Last seen | 2026-05-29T08:19:59.400Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | iNHeyU6bEP4H |
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| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3819596) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Marco Sbragi Posted on May 29 LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash #bash #ai #opensource #devops LLM-Manager is a lightweight, modular Bash suite with a dual JSON/Interactive interface designed to manage local and remote inference engines across Linux and WSL2. When I started experimenting with Large Language Models (LLMs) to build an On-Premise RAG (Retrieval-Augmented Generation) application, I hit a massive roadblock: environment fragmentation.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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