A lightweight, model-agnostic context engine for LLMs. Feed your model tasty context.
Project description
🧠 LLMunchies
Feeding your model tasty context.
LLMunchies is a lightweight, model-agnostic context engine for developers. It lets you store conversation history, format it for different models like GPT and Claude, and swap models on the fly without rewriting your prompt logic.
It is NOT a chatbot framework or a full AI agent platform. It's the simple, pluggable memory layer that sits between your app and the model API.
Mission
Let developers format, swap, and manage LLM context without prompt PTSD.
Installation
Currently, LLMunchies is not on PyPI. To use it, simply place the llmunchies folder into your project and import the MemoryManager. You will also need tiktoken for V2 functionality.
pip install tiktoken
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llmunchies-0.2.0.tar.gz.
File metadata
- Download URL: llmunchies-0.2.0.tar.gz
- Upload date:
- Size: 5.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
08cf594a215a2c30a2a931aa03dc7d88cf41fc15c6180242a350c144cc87ef8d
|
|
| MD5 |
7ce65c315dda2f30700274f3cbcef2a7
|
|
| BLAKE2b-256 |
9eaaf287991725685bdcbf4b92895ef42b50eadf06a01c27dbd0ad5494478fa7
|
File details
Details for the file llmunchies-0.2.0-py3-none-any.whl.
File metadata
- Download URL: llmunchies-0.2.0-py3-none-any.whl
- Upload date:
- Size: 6.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1ef43a7cef76e24178b8e0975128a606a26f7f7d8f189cb32596c18f7f82ee38
|
|
| MD5 |
988fa98bd44713e7f528fbfbf2cf31f8
|
|
| BLAKE2b-256 |
9e1bffe888d041bb064991c1e95a879b4b471f73b6a85c6d30913748184f006f
|