{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"Python SDK for interacting with LM Studio, a local LLM application, enabling text completion and chat interactions with loaded language models via WebSocket.","skillfed_tags":["local-llm","websocket-client","offline-inference"],"use_cases":["Build a local chatbot application that maintains conversation history and responds without external API calls.","Integrate text completion from a locally-running LLM into a Python data processing or analysis pipeline.","Prototype and test LLM-based features during development before deploying to a cloud service.","Create a command-line tool that queries a local model for code generation, summarization, or question-answering.","Batch-process documents or logs using a local model for classification, extraction, or transformation tasks."],"what_it_does":"The LM Studio Python SDK is a client library for programmatically interacting with LM Studio, a local large language model application. It provides both a synchronous Client and a convenience API for text completion and chat workflows, communicating with a running LM Studio instance over WebSocket. The package depends on httpx, httpx-ws, msgspec, typing-extensions, and anyio to handle HTTP/WebSocket communication and async utilities.\n\nThe SDK is designed for developers who want to integrate local LLM inference into Python applications without cloud dependencies. It offers a simple interface for loading models, requesting completions, and managing chat history, with support for Python 3.10 through 3.13. The package has been in production use since 2023 but has not received updates for over a year, suggesting it is stable but not actively maintained.","worth_installing":"Yes, if you already run LM Studio locally and want a straightforward Python interface to it. The package has low install friction, no known vulnerabilities, and stable production status. However, the 357-day gap since the last release and unclear license terms warrant caution: verify license compliance before commercial use, and expect slower community support if issues arise. Not suitable if you need active maintenance or cloud-based LLM access."},"id":"lmstudio","links":{"html":"https://skillfed.io/packages/lmstudio","md":"https://skillfed.io/packages/lmstudio.md","pypi":"https://pypi.org/project/lmstudio/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-08-22","license_spdx":null,"license_treatment":"unclear","name":"lmstudio","python_support":"supports_current","summary":"LM Studio Python SDK"},"popularity":{"monthly_downloads":91728,"position":13504,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.5.0"}