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AutoChecklist is a library that unifies LLM-based checklist evaluation into composable pipelines, available as a Python package and with CLI and UI utilities.

This repo hosts the Python SDK and related examples for AIMon, which is a proprietary, state-of-the-art system for detecting LLM quality issues such as Hallucinations. It can be used during offline evals, continuous monitoring or inline detection. We offer various model quality metrics that are f... Read more

A Python tool for compressing and organizing code files into a single, LLM-friendly text file. This tool is designed to help prepare codebases for analysis by Large Language Models by removing unnecessary content while preserving important semantic information.

Python package for exploratory data analysis (EDA) of text data, with LLM integration for to enable interacting with highly complex corpus statistics in natural language.

FastTrackHire is a Python and Streamlit-based app powered by LLMs that simulates interviews and provides real experiences from top MNCs to fast-track your hiring preparation.

A minimal, hackable Python framework for orchestrating multi-agent LLM workflows with tools, validation, and human-in-the-loop controls—all implemented in a single core module: gpt_agents_py/gpt_agents.py.

A developer-first, modern Python (3.13+) framework for building intelligent applications. IntelliBricks simplifies LLM interactions with robust tools like structured outputs, agent customization, RAG integration, and seamless API conversion using FastAPI or Litestar.

Apiswarm AI | 蜂群AI：Python轻量多Agent调度框架，聚合云端LLM接口，小蜜蜂实例并行批量处理AI任务，跨平台低负载，支持本地/邮件双方式下发任务。 Lightweight Python swarm task scheduler for LLM API aggregation, parallel batch AI processing via multi-worker instances, cross-platform & email remote task submission.

PyCon 2024 - 探索大型語言模型實戰方法：透過 Python 將 LLM 服務化、RAG 知識管理、Fine-Tune 模型在 AI 專案中

✨ 大语言模型 (LLM) 的可解释型自然语言数据库查询系统 (RAG) Interpretable Natural Language Database Query System (RAG) based on Large Language Models (LLM) ✨ 自然语言提问，使用大语言模型智能解析数据库结构，对数据进行智能多表结构化查询和统计计算，根据查询结果智能绘制多种图表。 生成链路过程完全开放可修改，可解释，实现可靠的自然语言数据分析。 Pywebio 交互式前端网页，不必须 openai api，100%纯 Python 代码。