Series: New releases of LLM
Releases of LLM, my command-line tool and Python library for interacting with Large Language Models.
llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs
I’ve been building out a small suite of command-line tools for working with ChatGPT, GPT-4 and potentially other language models in the future.
[... 1,328 words]My LLM CLI tool now supports self-hosted language models via plugins
LLM is my command-line utility and Python library for working with large language models such as GPT-4. I just released version 0.5 with a huge new feature: you can now install plugins that add support for additional models to the tool, including models that can run on your own hardware.
[... 1,656 words]LLM now provides tools for working with embeddings
LLM is my Python library and command-line tool for working with language models. I just released LLM 0.9 with a new set of features that extend LLM to provide tools for working with embeddings.
[... 3,466 words]LLM 0.13: The annotated release notes
I just released LLM 0.13, the latest version of my LLM command-line tool for working with Large Language Models—both via APIs and running models locally using plugins.
[... 1,278 words]You can now run prompts against images, audio and video in your terminal using LLM
I released LLM 0.17 last night, the latest version of my combined CLI tool and Python library for interacting with hundreds of different Large Language Models such as GPT-4o, Llama, Claude and Gemini.
[... 1,399 words]LLM 0.22, the annotated release notes
I released LLM 0.22 this evening. Here are the annotated release notes:
[... 1,340 words]Structured data extraction from unstructured content using LLM schemas
LLM 0.23 is out today, and the signature feature is support for schemas—a new way of providing structured output from a model that matches a specification provided by the user. I’ve also upgraded both the llm-anthropic and llm-gemini plugins to add support for schemas.
[... 2,601 words]Long context support in LLM 0.24 using fragments and template plugins
LLM 0.24 is now available with new features to help take advantage of the increasingly long input context supported by modern LLMs.
[... 1,896 words]Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25)
The new llm-video-frames plugin can turn a video file into a sequence of JPEG frames and feed them directly into a long context vision LLM such as GPT-4.1, even when that LLM doesn’t directly support video input. It depends on a plugin feature I added to LLM 0.25, which I released last night.
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