Get Shit Done with Reinforcement Learning for Multi-Agent Systems
Project description
GSD-RLM
Get Shit Done with Reinforcement Learning for Multi-Agent Systems.
A YAML-based agent definition system with automatic validation, per-agent tool whitelisting, and multi-provider LLM configuration. Built on RLM-Toolkit.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gsd_rlm-0.1.2.tar.gz
(771.7 kB
view details)
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
gsd_rlm-0.1.2-py3-none-any.whl
(528.1 kB
view details)
File details
Details for the file gsd_rlm-0.1.2.tar.gz.
File metadata
- Download URL: gsd_rlm-0.1.2.tar.gz
- Upload date:
- Size: 771.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
debc4ede025998c9839d18837efa856bde8b0b2638c1e8c404294e2f5de1dd7e
|
|
| MD5 |
6a31b966f9575c41ecf5fda6d5d97808
|
|
| BLAKE2b-256 |
f81b9f5caab9374e45022667259a5daa4f749b545021766252911dbcac1f64ec
|
File details
Details for the file gsd_rlm-0.1.2-py3-none-any.whl.
File metadata
- Download URL: gsd_rlm-0.1.2-py3-none-any.whl
- Upload date:
- Size: 528.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
deb6c489f50d0e72b2497ee6c41a06c5d3086d046105d1b4a359e910067afc14
|
|
| MD5 |
ce3d7bb585f2440b317e0b899f5c7fb8
|
|
| BLAKE2b-256 |
f3a0277a1cef5c0e79959b5cae519ffea4bbe63d535d883ec1513462256478dc
|