| Name | Version | Summary | date |
| faesm |
0.1.1 |
None |
2024-12-14 18:17:27 |
| lmprep |
0.4.1 |
A tool for preparing your codebase for use with LLMs |
2024-12-13 16:50:13 |
| qwen-agent |
0.0.15 |
Qwen-Agent: Enhancing LLMs with Agent Workflows, RAG, Function Calling, and Code Interpreter. |
2024-12-13 06:56:07 |
| llmkey |
6.0 |
None |
2024-12-13 01:49:08 |
| langcheck |
0.9.0 |
Simple, Pythonic building blocks to evaluate LLM-based applications |
2024-12-12 01:41:29 |
| modelmetry-sdk |
1.0.0 |
Modelmetry SDK for Python applications. |
2024-12-12 01:10:32 |
| llmchatlinker |
0.1.3 |
LLMChatLinker is a Middleware SDK designed to facilitate interaction between clients and Large Language Models (LLMs). |
2024-12-11 04:31:13 |
| ai-microcore |
3.12.1 |
# Minimalistic Foundation for AI Applications |
2024-12-10 19:17:05 |
| cedartl |
0.1.1 |
A lightweight, intuitive templating language designed for interactive use in LLM chat sessions. |
2024-12-09 15:56:37 |
| slimcontext |
0.1.2 |
A tool to turn a git repository into context for LLMs. |
2024-12-09 05:30:51 |
| lymt |
0.1.1 |
Let Your Model Think |
2024-12-08 08:16:22 |
| pyllmsearch |
0.8.3 |
LLM Powered Advanced RAG Application |
2024-12-08 07:32:18 |
| promptzl |
0.9.3 |
Promptzl - LLMs as Classifiers |
2024-12-07 18:25:42 |
| any-llm-client |
2.0.0 |
Add your description here |
2024-12-05 15:39:10 |
| emergingtrajectories |
0.2.46 |
Open source library for tracking and saving forecasts of political, economic, and social events. |
2024-12-05 04:04:35 |
| pyrit |
0.5.2 |
The Python Risk Identification Tool for LLMs (PyRIT) is a library used to assess the robustness of LLMs |
2024-12-03 23:17:00 |
| mcp-server-time |
0.6.1 |
A Model Context Protocol server providing tools for time queries and timezone conversions for LLMs |
2024-11-29 18:02:13 |
| virtual-lab |
1.0.0 |
A virtual lab of large language model agents for scientific research. |
2024-11-26 21:31:23 |
| aiide |
0.0.6 |
aiide is a framework to build LLM copilots. |
2024-11-26 18:28:36 |
| edsl |
0.1.38 |
Create and analyze LLM-based surveys |
2024-11-26 17:50:32 |