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Easiest way to give context to LLMs; Attachments has the ambition to be the general funnel for any files to be transformed into images+text for large language models context by only adding 2 lines to your python code.

🐍 TOON for Python (Token-Oriented Object Notation) Encoder/Decoder - Reduce LLM token costs by 30-60% with structured data.

A simple Python sandbox for helpful LLM data agents

Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.

Python SDK for running evaluations on LLM generated responses

Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophi... Read more

A fully autonomous AI Agent/Python pipeline that utilizes Large Language Models (LLMs) like Gemini to generate content, produce videos, and automatically upload educational videos to YouTube.

基于python和llm大模型开发的数据处理和任务调度系统。 支持数据源管理，数据模型管理，数据集成，数据查询API接口，低代码自定义数据处理任务模版，单任务及dag任务工作流调度等功能。集成了llm模块实现rag知识库问答，链接各数据源数据进行数据对话问答，交互式数据分析功能。

Blazing-fast LLM inference in pure Rust. No PyTorch and Python runtime.

A Model Context Protocol (MCP) server that interfaces with Adobe Photoshop's Python API. Enables LLMs to execute image editing operations, automate workflows, and manage Photoshop tasks through structured commands and context-aware interactions.