warmhub

The Python SDK for WarmHub — create repos, commit and query data, and compound knowledge with your AI agents.

Install

pip install warmhub

Requires Python 3.10 or later. It pulls one runtime dependency, httpx, plus typing-extensions below Python 3.13.

Add the re2 extra only if you validate shape pattern constraints in the client. It ships no wheel for Alpine and builds from source there:

pip install "warmhub[re2]"

Versions

Every release carries a real version, assigned by the release pipeline and never edited by hand — so importlib.metadata.version("warmhub") and a pip freeze line identify exactly which build you have. That number is independent of the TypeScript SDK's: a Python-only fix does not wait on a TypeScript release, and the two are not expected to match.

An installed copy reporting 0.0.0.dev0 is not a release. That is the placeholder the source tree carries, never published under that number, and it is how you tell a real install apart from a build made from a checkout.

Quickstart

from warmhub import WarmHubClient

with WarmHubClient.from_env() as client:  # reads WH_TOKEN
    repo = client.repository("acme/sensors")

    page = repo.things.head(shape="Reading", limit=5)
    for item in page.items:
        print(item.wref, item.version)

WarmHubClient(access_token=...) is the explicit form. The default constructor reads no environment variable — only from_env() does, and it says so in the name.

Writing

batch = repo.batch(message="seed readings")
batch.add(name="Reading/probe-1", data={"temp_celsius": 21.4})
result = batch.commit()  # the only line that issues a request

Submission is explicit. Nothing here performs network I/O on scope exit.

Preview the same operation array with the real server commit evaluator before submitting it:

preview = repo.validate(
    [
        {
            "operation": "add",
            "kind": "thing",
            "name": "Reading/probe-2",
            "data": {"temp_celsius": 19.8},
        }
    ],
    message="seed probe-2",
    include_would_be_body=True,
)

if not preview.can_commit:
    for operation in preview.operations:
        if operation.status == "error":
            print(operation.errors)

repo.validate(...) is the repo-bound spelling of client.commit.validate(org_name, repo_name, operations, ...); the async client has the same method and awaits it. Validation sends one bounded request (at most 10,000 operations and 4 MiB encoded), creates no durable repository state or receipt, and returns ordered would_apply, noop, or error results. It is a snapshot rather than a reservation: concurrent writes, write-time admission, and asynchronous actions are not projected.

A revise takes expected_version to make the write conditional on the version you read. The commit fails rather than clobbering a concurrent write:

repo.batch(message="correct probe-1").revise(
    name="Reading/probe-1",
    data={"temp_celsius": 21.7},
    expected_version=3,
).commit()

Assertions

An assertion is a thing that makes a shape-validated claim about another thing. It is the write that makes a repository a knowledge graph rather than a table, and it is queryable like any other thing:

repo.batch(message="flag the outlier").add(
    name="Suspect/probe-1-spike",
    kind="assertion",
    about="Reading/probe-1",
    data={"confidence": 0.8, "reason": "exceeds calibrated range"},
).commit()

about accepts any wref — a specific thing (Reading/probe-1) or a whole shape (Reading).

Ask the other direction with thing.about, called on the subject's repository. The assertions may live somewhere else entirely, and nothing in the call names where:

filed = client.thing.about("acme", "sensors", "Reading/probe-1", limit=25)

if filed.target is not None:  # the subject itself, optional
    print(filed.target.wref, filed.target.version)

for claim in filed.assertions:
    print(claim.shape_name, claim.wref, "->", claim.about_wref)

One request returns both halves, so "fetch it, then fetch what people said about it" is not two round trips. Anyone can assert about your records without your repository knowing they exist; this is how you find out. .next_cursor pages exactly like head does.

Querying

head reads current state, filtered. where builds predicates through operator overloading, and a dotted path reaches nested fields:

from warmhub import where

page = repo.things.head(
    shape="Reading",
    where=[where("temp_celsius") > 30, where("sensor.county") == "Marin"],
    limit=100,
)

Results are paginated. head_iter walks the pages for you, and head_all collects them under an explicit ceiling:

for item in repo.things.head_iter(shape="Reading"):
    print(item.wref, item.version)

everything = repo.things.head_all(shape="Reading", max_items=10_000)

Typed reads

data is your shape's payload, so the SDK types it JsonValue — it genuinely does not know your shape. When you do, say so with decode_as and get a page of frozen dataclasses, statically as well as at runtime:

from dataclasses import dataclass


@dataclass(frozen=True, slots=True)
class Reading:
    temp_celsius: float
    probeId: str


page = repo.things.head(shape="Reading", decode_as=Reading)
page.items[0].data.temp_celsius  # a Reading, not a dict

No key is transformed, in either direction. Field names are looked up verbatim, so a camelCase wire field needs a camelCase attribute. That reads oddly in Python and it is the right trade: a client that guessed at case conversion would be a client that can silently corrupt a repository. Declaring a subset is fine — extra keys are ignored, and only the fields you declare must be present.

Async

Every surface has an async twin with an identical signature:

from warmhub import AsyncWarmHubClient

async with AsyncWarmHubClient.from_env() as client:
    repo = client.repository("acme/sensors")
    page = await repo.things.head(shape="Reading", limit=5)

The sync and async clients emit byte-identical HTTP requests for the same call, and a test asserts it.

Two rules worth knowing up front

Everything returned is a frozen object with snake_case attributes. Unknown fields a newer backend adds land in .extra rather than being dropped. .data is a plain mapping, because those keys are your own shape fields and the client never transforms them.

Omitted is not null. Optional arguments default to UNSET, not None. Passing None means "set this to null" on the wire. bool(UNSET) raises, so if limit: cannot silently conflate "not provided" with 0.

Documentation

• Python SDK guide
• Python API reference