acis2llm is an open-source package offering agent-friendly helpers for the xmACIS2Py climate library, enabling easy station discovery, multi-station data fetch, and seasonal/monthly composites for developers building agent-based systems.
In the Frameworks & SDKs space, acis2llm takes a focused approach. It focuses on simplifying climate data access and manipulation for agent-based systems using xmACIS2Py. acis2llm is an open-source project aimed at developers. acis2llm is open source under the MIT license. It ships for the command line.
acis2llm first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Among its 4 catalogued features are station discovery, multi-station fetch, and seasonal composites.
Summary written by a language model from the project’s public pages.
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