{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"A self-hosted LLM console and OpenAI-compatible API server that runs model inference, chat, and a web UI in a single process, with support for GPU worker fleets and cross-machine model sharding.","skillfed_tags":["self-hosted-llm","openai-compatible","gpu-worker-fleet"],"use_cases":["Run a local LLM API that any OpenAI-compatible client can call without external hosting or API keys.","Build a multi-GPU inference cluster by joining worker machines to a central coordinator over HTTP.","Serve a web console and API from a single hugpy serve command on a development machine or small server.","Evaluate commercial LLM use cases for thirty (30) days free before committing to a production license.","Integrate local model inference into a Discord bot or other chat application via the built-in bot arm.","Lazy-load heavy dependencies only for workloads that need them."],"what_it_does":"abstract_hugpy_dev is a development distribution of hugpy, a self-hosted LLM platform that combines a web console, model registry, and OpenAI-compatible API in a single Python process. It lets you run local language models and expose them through a `/v1` API endpoint compatible with standard LLM clients. The package ships with a built-in browser UI for model management and chat, eliminating the need for separate frontend builds or reverse proxies.\n\nThe system is designed for operational self-hosting: it handles model downloads, streaming inference, on-site API key management, and optional GPU worker coordination across multiple machines. The base install is lightweight and wheels-only so it runs on constrained environments; heavy features like inference engines, vision, OCR, and web scraping are opt-in extras that lazy-load only when used. It supports distributed inference by splitting large models across multiple GPUs via RPC sharding, and includes a Discord bot arm for chat integration.","worth_installing":"Yes, with conditions. Install if you need a self-hosted LLM API with an integrated web console and are comfortable with the source-available license (non-commercial free, thirty (30) day commercial trial, then licensing required). The low install friction, active maintenance, and zero known vulnerabilities are strong signals. Verify that the license terms align with your use case\u2014personal and non-profit use is clear, but commercial production deployment requires a license agreement."},"id":"abstract-hugpy-dev","links":{"html":"https://skillfed.io/packages/abstract-hugpy-dev","md":"https://skillfed.io/packages/abstract-hugpy-dev.md","pypi":"https://pypi.org/project/abstract-hugpy-dev/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"unclear","name":"abstract-hugpy-dev","python_support":"supports_current","summary":"Self-hosted LLM console: model registry & downloads, streaming chat, OpenAI-compatible /v1 API with on-site keys, GPU worker fleet with cross-machine RPC sharding"},"popularity":{"monthly_downloads":83942,"position":14039,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.233"}