{"categories":[{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/5"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"}],"enrichment":{"capability":"LLM is a CLI tool and Python library for running prompts against Large Language Models from OpenAI, Anthropic, Google, Meta, and dozens of other providers, both via remote APIs and locally-installed models.","skillfed_tags":["cli-tool","llm-interface","multi-provider"],"use_cases":["Run ad-hoc prompts and chats from the terminal against OpenAI, Anthropic, or other remote LLM APIs without writing code.","Extract structured content and text from images and documents using vision-capable models via a single CLI command.","Log all prompts and responses to a local SQLite database for auditing, analysis, and retrieval of past interactions.","Build plugins to run self-hosted models (e.g., via Ollama or LM Studio) without rewriting your prompt execution logic.","Generate and store embeddings for text or documents, then query them for semantic search and similarity tasks.","Grant language models access to tools and functions so they can execute terminal commands or call external APIs as part of their reasoning."],"what_it_does":"LLM is a unified command-line and Python interface for interacting with Large Language Models from multiple providers. It abstracts away provider-specific APIs, letting you run prompts, start interactive chats, and work with models from OpenAI, Anthropic, Google, Meta, and others\u2014both via remote APIs and locally-installed models through plugins. The tool stores prompts and responses in SQLite, supports structured data extraction from text and images, can generate and store embeddings, and grants models the ability to execute tools.\n\nYou install it once with pip, configure API keys for the providers you use, and then run prompts from the command line or import it as a Python library. It handles the boilerplate of authentication, request formatting, and response parsing, making it practical for quick one-off queries, batch processing, and integration into scripts and applications.","worth_installing":"Yes. LLM is actively maintained, has low install friction, carries no security vulnerabilities, and offers a practical abstraction over multiple LLM providers. It is worth installing if you work with language models from the command line or want a unified Python interface to multiple providers. The main prerequisite is an API key for at least one provider (OpenAI, Anthropic, Google, etc.) or a local model setup."},"id":"llm","links":{"html":"https://skillfed.io/packages/llm","md":"https://skillfed.io/packages/llm.md","pypi":"https://pypi.org/project/llm/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-04","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"llm","python_support":"supports_current","summary":"CLI utility and Python library for interacting with Large Language Models from organizations like OpenAI, Anthropic and Gemini plus local models installed on your own machine."},"popularity":{"monthly_downloads":538816,"position":6112,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.32"}