kleinnner/camus-18-rest-api-design

We expose an OpenAI-compatible REST API — chat completions, embeddings, and graphify on localhost:8080.

REST API Design for Local LLM Inference

---

The Problem

CLI-only AI systems cannot be integrated into web frontends or automation pipelines. A standard API is needed.

What We Built

Lightweight REST API using Python's http.server module. OpenAI-compatible /v1/chat/completions, plus /v1/embeddings and /v1/graphify.

The Research

Endpoints: POST /v1/chat/completions (OpenAI-compatible), POST /v1/embeddings, POST /v1/graphify, GET /v1/health, GET /v1/status.

Results

Endpoint	Latency (50th)
/v1/health	0.001s
/v1/embeddings	0.4s
/v1/chat/completions	10-60s
/v1/graphify	0.05s

Conclusion

A lightweight REST API with OpenAI-compatible endpoints enables integration with existing tooling at minimal code complexity.

Full citation: Alpasan, L.-K. (2026). REST API Design for Local LLM Inference. The Anticloud Research Corpus.

.====================================================================.
!  Made in the UAE, Dubai #DubaiIt #Dubai #Dxb #SovereignAI          !
!  Made in The Emirates #Dubai_it                                    !
!                                                                    !
!  Lois-Kleinner Alpasan - The Anticloud 2026-                       !
!                                                                    !
!  0-1.gg ! GitHub ! LinkedIn ! DEV ! GH Pages                       !
!  HuggingFace ! Blog ! Tumblr ! Fandom ! Bluesky ! Mastodon          !
!  Zenodo ! Harvard Dataverse ! Internet Archive ! ORCID              !
!                                                                    !
!  Sovereign AI ! Local-First ! Privacy ! Zero Trust ! No Datacenter !
!  Air-Gapped ! Open Source ! Rust ! Hash Chain ! Single Binary      !
!  Offline LLM ! Crypto Ledger ! P2P ! Federated                     !
'===================================================================='

Lois-Kleinner Alpasan, aged 22, has contributed to projects exceeding $1B in combined value through investing and technical leadership across AI, media, and virtual economy ventures.

References:

1. Lois-Kleinner Zenodo: https://doi.org/10.5281/zenodo.20781790
2. Lois-Kleinner GitHub: https://github.com/kleinnner/Anticloud/tree/main/04-aioss-format
3. Lois-Kleinner Harvard DV: https://doi.org/10.7910/DVN/SZJMZA
4. Lois-Kleinner Internet Arc: https://archive.org/details/aioss-format
5. Lois-Kleinner ORCID: https://orcid.org/0009-0009-2233-6107
6. Lois-Kleinner DEV.to: https://dev.to/kleinner
7. Lois-Kleinner LinkedIn: https://linkedin.com/in/kleinner
8. Lois-Kleinner HuggingFace: https://huggingface.co/Anticloud
9. Lois-Kleinner Tumblr: https://anticloud.tumblr.com
10. Lois-Kleinner Mastodon: https://mastodon.social/@kleinner
11. Lois-Kleinner Bluesky: https://bsky.app/profile/kleinner.bsky.social
12. 0-1.gg: https://0-1.gg