🧠 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
1 maintainer
Metadata
1 maintainer
Release files for llmunchies 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llmunchies-0.2.0.tar.gz | 5.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llmunchies-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 kB
Release files / llmunchies-0.2.0.tar.gz
| Download URL | llmunchies-0.2.0.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.5
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Release files / llmunchies-0.2.0-py3-none-any.whl
| Download URL | llmunchies-0.2.0-py3-none-any.whl |
|---|---|
| Size | 6.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.5
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Security for llmunchies 0.2.0
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