hanzo-research

Record and query Hanzo R&D evidence in one import. The ONE way every producer (enso-bench benchmarks, hanzo-engine/hanzo-ml kernel-perf, any research project) files runs into the unified /v1/research plane (HIP-0512) — versioned, append-only, idempotent by content, private by default.

import hanzo_research as research

# get/create the experiment; provenance is auto-captured (see below)
exp = research.experiment("benchmark", "grok-4.5", "gpqa_diamond")
exp.record("q1", "grok-4.5", {"answer": "A", "correct": True})   # an attempt, idempotent
exp.snapshot(png_bytes)                                          # a board-snapshot artifact
exp.report(markdown_text)                                       # a generated-report artifact
exp.finish(value=94.3)                                          # seal the run

rows = research.query(project="enso-bench", kind="benchmark")    # read canonical

Zero-config auto-instrumentation

The caller supplies no provenance. On experiment() the SDK reads the run's environment and captures three self-documenting narrative sources, plus machine context:

• the calling code's docstring — what this experiment is (write a normal module docstring);
• the commit messages since this experiment's last recorded run — what changed + why (commit normally);
• an optional note= you pass.

Plus git_sha / git_branch / git_dirty, lib_versions, and host. The project self-documents as a side effect of running.

Importer-agnostic, idempotent

ingest(experiments=…, attempts=…) is one idempotent POST. Any source — a SQLite backfill, git history, a kernel-perf campaign — maps its records to stable ids and calls it; re-import is a no-op. "Load all research in" is just running importers.

Config

RESEARCH_BASE (default https://api.hanzo.ai), HANZO_API_KEY (per-org key → Bearer), RESEARCH_PROJECT. Uploads are private; public visibility, training, and commons rights are each a separate grant. Stdlib only (urllib) — importable in any zero-dep harness.