hpc-agent-core 0.4.10

Shared runtime for the HPC MCP agent family: SSH middleware, PSI/J-style job models, scheduler backends, docs RAG, doctor, and serving, reused across per-machine plugins (Rikyu, HOKUSAI, Octopus, ...).

hpc-agent-core

Shared runtime behind the RIKEN family of HPC agent plugins — Claude Code / Codex plugins that let an agent submit and monitor jobs, manage files, and search documentation on a supercomputer over SSH.

Used by:

• Rikyu-Agent — Rikyu (GB200, Slurm)
• Hokusai-Agent — HOKUSAI BigWaterfall2 (Slurm)
• RCCS-CloudAgent — R-CCS Cloud (Slurm, heterogeneous hardware)
• and several other machine repos — see PORTING.md for the full list and how they're built

Building a new agent for a new cluster? Read PORTING.md.

PORTING.md is the complete porting guide — what facts to gather about a machine, how to wire up config.py/compute.py, what the MCP tool surface should look like, and how to validate a port before calling it done. If you're an agent (or a person) about to build a new machine repo on top of this package, start there, not here.

What's here

• config.py — settings resolution (env var > config file > default).
• middleware.py — the SSH execution layer; the only thing that talks to the cluster.
• models.py — PSI/J-style job models (JobSpec, ResourceSpec, Job, ...).
• compute/slurm.py, compute/gridengine.py — config-driven scheduler backends (script rendering, submit/status/cancel).
• rag/ — the docs-search pipeline: BM25 keyword search, with optional vector embeddings, over a machine's bundled guide.
• docs_server.py, doctor.py, serving.py, mcp_server.py — the generic MCP plumbing. A machine repo mostly just supplies its own facts, guide, and tool surface on top of these.

Tool surface: the IRI Facility API

Each machine's MCP tool surface is meant to mirror the IRI Facility API (the DOE standard this family targets — not vendored here; fetch it fresh when checking coverage). See IRI_CHECKLIST.md for how that spec's capability groups map onto what this package provides versus what a machine repo still has to write itself. Coverage verdicts (implemented/deferred/why) are machine-specific and live in each machine repo's own IRI_CHECKLIST.md, not here.

Development

python3 -m venv .venv && .venv/bin/pip install -e .

No machine repo depends on an unreleased local copy of this package, so there isn't a meaningful smoke test to run standalone — validate changes against a real machine repo (tests/smoke.py) before releasing.