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.

Metadata

Release files for gsd-rlm 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gsd-rlm 0.1.5
File	Size	Uploaded
gsd_rlm-0.1.5.tar.gz	440.3 kB	Mar 1, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for gsd-rlm 0.1.5
File	Interpreter	ABI	Platform	Reset
gsd_rlm-0.1.5-py3-none-any.whl 574.5 kB Mar 1, 2026	Python 3	none	any	Details

Total release size: 1.0 MB

Release files / gsd_rlm-0.1.5.tar.gz

Download URL	gsd_rlm-0.1.5.tar.gz
Size	440.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`7c34e51bf6b9dacb8a7b6b92017926b5082e5356aa4406d5222422ea6a12780d`
BLAKE2b-256 checksum How to use checksums	`d2f2e614b53334f2e81e8255cb57609a3ea721f2f7d2c74cf053c4829919a0f3`
Upload date	Mar 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.2`

Release files / gsd_rlm-0.1.5-py3-none-any.whl

Download URL	gsd_rlm-0.1.5-py3-none-any.whl
Size	574.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`18d8d9b49546e991b6b3c5da49ec67d4a9e0e55756c560b8007b2d719b6af93f`
BLAKE2b-256 checksum How to use checksums	`7e0294dc8fae5225fd5f98dab7632441a5cf1a307acf80d7639b925f638d476d`
Upload date	Mar 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.2`