Files
zeekay 42124b1f45 hanzo-research 0.2.0: every research and arena route, the crate's records, provenance
The Python client now reaches what the Rust crate does and the server
serves. Research covers every /v1/research route: record() files
benchmarks, studies, runs and papers in one batch a kind; runs(),
get_run() and compare() read them; grant(), revise() and retract() move
consent and versions; the experiment plane and artifacts as before.
Arena covers /v1/benchmark: catalog, leaderboard, claims (written with
protocol and source), history, compare, presets, and runs, which queue a
paid execution and are refused without confirm=True.

wire holds the crate's Run, Benchmark, Measure, Study, Paper and
Comparison field for field; canonical writes RFC 8785 bytes equal to the
crate's (tests/vectors/rust.json, written by the crate); lineage and wal
are the crate's records, and a WAL the crate wrote verifies here.
capture() reads the harness commit (the diff's SHA-256 when dirty), the
weights' SHA-256, host, CPU, GPU, device, dtype and packages, and
apply() folds them into a run.

runs(org=) sends no credential: the server answers ?org= only to a
caller with no org. An org the token does not belong to is refused
before the request, since the server would act in the home org. The
command is hanzo-research; the native CLI owns `hanzo`.
2026-10-15 12:11:45 -07:00

229 lines
6.2 KiB
JSON
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
{
"apart": [
{
"canonical": "1000000000000000000000",
"value": 1e+21
},
{
"canonical": "0.0000001",
"value": 1e-7
},
{
"canonical": "1500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"value": 1.5e+300
},
{
"canonical": "-0",
"value": -0.0
},
{
"canonical": "0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000005",
"value": 5e-324
},
{
"canonical": "9007199254740993",
"value": 9007199254740993
},
{
"canonical": "18446744073709551615",
"value": 18446744073709551615
}
],
"crate": "hanzo-research",
"records": {
"environment": {
"digest": "e5d401891cba38723a93a37a4bcd10bc080eb624b1460f920f220e95df5327f7",
"value": {
"cargo_lock_hash": "",
"compiler_version": "rustc",
"determinism_config": "",
"git_branch": "main",
"git_dirty": true,
"git_sha": "abc",
"host": "dgx",
"image_digest": "",
"kernel_version": "7.0.0",
"lib_versions": {
"hanzo-ml": "0.11.112"
},
"os": "Linux",
"precision_config": "bf16"
}
},
"event": {
"digest": "15830f5752208bbde0d46ae382e6d90f603af4dd1637822440a5308e98e8e654",
"value": {
"created_at": "2026-10-15T00:00:00Z",
"event_id": "run-1-worker-0-1-step",
"payload": {
"loss": 1.25,
"step": 1
},
"payload_hash": "fb017ac5a6a9a378f10ae0b180ed416b72e1a60375b0877e38c7a504ae30482e",
"previous_event_hash": "0000000000000000000000000000000000000000000000000000000000000000",
"run_id": "run-1",
"sequence": 1,
"worker_id": "worker-0"
}
},
"policy": {
"digest": "8245875bf205b34358d1302e5f78e13beb91e65a0ab2da1b38fec08f95ce2b9e",
"value": {
"derivation_allowed": true,
"purpose": "teacher_mining"
}
},
"run": {
"digest": "cd91b801cdc4d8cbdf7b0cd2932a2cea55de052974097b9bfac0238bc65a5896",
"value": {
"answered": 100,
"baseline": false,
"benchmark": "demo.bench",
"by": "dgx",
"canonical": false,
"commit": "0123456789abcdef0123456789abcdef01234567",
"completion": "",
"dataset_digest": "",
"embedder": "",
"ended": "2026-10-15T00:10:00Z",
"facts_digest": "",
"id": "demo.bench-dev-cfg-sys",
"k": 10,
"max_tokens": null,
"measures": [
{
"category": "all",
"hi": 0.88,
"lo": 0.72,
"metric": "accuracy",
"n": 100,
"of": 100,
"value": 0.81
}
],
"notes": "é 😀",
"project": "default",
"prompt": "",
"prompt_digest": "",
"publishable": false,
"questions": 100,
"reader": "",
"revision": "original",
"split": "dev",
"store_digest": "",
"study": "",
"system": "sys",
"temperature": 0.0,
"trainable": false,
"version": "m@abc",
"visibility": "",
"when": "2026-10-15T00:00:00Z"
}
}
},
"source": "hanzoai/ml hanzo-research @ 7c967bf79",
"vectors": [
{
"canonical": "{\"a\":1,\"b\":2,\"c\":{\"x\":false,\"z\":true}}",
"digest": "879f06e22167e9fb8c4c911a9682ed6df15cfd47e551347b97c2f852e95c8633",
"name": "sorting",
"value": {
"a": 1,
"b": 2,
"c": {
"x": false,
"z": true
}
}
},
{
"canonical": "{\"a\":[],\"n\":null,\"o\":{},\"s\":\"\"}",
"digest": "a0e64a9d54eb19d4d01f5430bb54ea80575a24a5436ed3d3a64a46a90f52267f",
"name": "empty",
"value": {
"a": [],
"n": null,
"o": {},
"s": ""
}
},
{
"canonical": "{\"s\":\"q\\\" b\\\\ s/ \\b\\f\\n\\r\\t \\u0001 \\u001f  é 😀 
\"}",
"digest": "a4f961f790939cd0504b7b542a6f99b1f82c561d5b85c36c39aacc3a8f237bfe",
"name": "escapes",
"value": {
"s": "q\" b\\ s/ \b\f\n\r\t \u0001 \u001f  é 😀 
"
}
},
{
"canonical": "{\"a\":4,\"é\":1,\"𐀀\":5,\"😀\":2,\"。\":3,\"￿\":6}",
"digest": "2fde9af60a65073b84e85627130d5597de7313a31d3832dbf1d866c987506f6d",
"name": "utf16",
"value": {
"a": 4,
"é": 1,
"。": 3,
"￿": 6,
"𐀀": 5,
"😀": 2
}
},
{
"canonical": "[0,1,-1,42,9007199254740991,-9007199254740991]",
"digest": "0339c6206cc3dd2c9dd28b6fbd5d8d1bba2eac60315c3605c0cd897f24d26b6c",
"name": "ints",
"value": [
0,
1,
-1,
42,
9007199254740991,
-9007199254740991
]
},
{
"canonical": "[0.5,0.1,-1.5,1,100,3.14159,123456.789,0.000001,100000000000000000000,0.000025,0.8734610296764017]",
"digest": "7657ff45b99b19920c4d7ac27cd79da2004a2be9fc7e09dc13d93f2560f2a768",
"name": "floats",
"value": [
0.5,
0.1,
-1.5,
1.0,
100.0,
3.14159,
123456.789,
1e-6,
1e+20,
0.000025,
0.8734610296764017
]
},
{
"canonical": "[{\"a\":\"x\",\"b\":[1,{\"c\":2,\"d\":1}]},[[],{}]]",
"digest": "ec08c4a540df2ee848163a6feae581f786a57051d3c674bffbc6d97296780dcf",
"name": "nested",
"value": [
{
"a": "x",
"b": [
1,
{
"c": 2,
"d": 1
}
]
},
[
[],
{}
]
]
}
],
"wal": {
"last": "7a9b8a8c1076a65703699887094e933bbd684e4dfdfdbfc83c1de2617af9ba93",
"sequence": 3
}
}