Translation layer for a jobspec specification to cluster execution
This library is primarily being used for development for the descriptive thrust of the Fractale project. It is called fractale, but also not called fractale. You can't be sure of the name until you open the box.
The fractale agent command provides means to run build, job generation, and deployment agents.
This part of the library is under development. There are three kinds of agents:
stepagents are experts on doing specific tasks (do hold state)manageragents know how to orchestrate step agents and choose between them (don't hold state, but could)helperagents are used by step agents to do small tasks (e.g., suggest a fix for an error)
The design is simple in that each agent is responding to state of error vs. success. In the case of a step agent, the return code determines to continue or try again. In the case of a helper, the input is typically an erroneous response (or something that needs changing) with respect to a goal. For a manager, we are making a choice based on a previous erroneous step.
See examples/agent for an example, along with observations, research questions, ideas, and experiment brainstorming!
We provide a simple translation layer between job specifications. We take the assumption that although each manager has many options, the actual options a user would use is a much smaller set, and it's relatively straight forward to translate (and have better accuracy).
See examples/transform for an example.
We want to:
- Generate software graphs for some cluster (fluxion JGF) (this is done with compspec
- Register N clusters to a tool (should be written as a python module)
- Tool would have ability to select clusters from resources known, return
- Need graphical representation (json) of each cluster - this will be used with the LLM inference
See examples/fractale for a detailed walk-through of the above.
For graph tool:
conda install -c conda-forge graph-toolHPCIC DevTools is distributed under the terms of the MIT license. All new contributions must be made under this license.
See LICENSE, COPYRIGHT, and NOTICE for details.
SPDX-License-Identifier: (MIT)
LLNL-CODE- 842614