{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"ell-ai is a functional prompt engineering framework that lets you write language model interactions as Python functions, with built-in versioning, serialization, and multimodal support for text, images, and other content types.","skillfed_tags":["prompt-engineering","llm-framework","multimodal"],"use_cases":["Build and iterate on LLM prompts with automatic versioning and commit-like snapshots without leaving Python code.","Develop multimodal applications that combine text, images, and other content types in a single prompt function.","Monitor and visualize prompt engineering experiments over time using Ell Studio to catch regressions.","Organize complex LLM workflows as composable Python functions with type hints and clear parameter passing.","Prototype and test language model applications with rich tooling for prompt optimization and comparison."],"what_it_does":"ell-ai treats language model interactions as first-class Python functions rather than string templates. You decorate a function with @ell.simple() or similar, write your system and user messages as function body code, and call it like any other function. The framework automatically versions and serializes your prompts to a local store, tracks iterations similar to machine learning checkpointing, and provides tooling for monitoring and visualization through Ell Studio.\n\nThe package emphasizes multimodal-first design: you can pass PIL images, audio, and other content types directly into message objects alongside text, with automatic type coercion. It integrates with OpenAI's API and depends on numpy, requests, cattrs, black, pillow, and other utilities to handle serialization, formatting, and image processing. The framework is still in alpha and has been actively maintained, with support for Python 3.7 through 3.13.","worth_installing":"Yes, if you are actively doing prompt engineering with OpenAI models and want structured versioning and monitoring. The low install friction, permissive license, and recent maintenance make it a reasonable choice for iterative LLM development. However, the alpha status and dependence on 10 runtime packages mean you should verify it fits your specific workflow before committing to it in production."},"id":"ell-ai","links":{"html":"https://skillfed.io/packages/ell-ai","md":"https://skillfed.io/packages/ell-ai.md","pypi":"https://pypi.org/project/ell-ai/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-02-25","license_spdx":null,"license_treatment":"permissive","name":"ell-ai","python_support":"supports_current","summary":"ell - the language model programming library"},"popularity":{"monthly_downloads":112173,"position":12379,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.17"}