maxmodel 0.2.0

The AI gateway with verified output. One API for every model, with verbatim citations and hallucinations stripped.

maxmodel (Python)

The AI gateway with verified output. One API for every model, with a verified mode that returns answers grounded in your sources: verbatim citations, hallucinations stripped, checked by deterministic code (not an LLM judge).

pip install maxmodel

from maxmodel import MaxModel

mx = MaxModel(api_key="sk-...")  # your maxmodel.com gateway key

out = mx.verified.create(
    model="gpt-5.5-pro",
    messages=[{"role": "user", "content": "What is our refund policy?"}],
    sources=[{"id": "refunds.md", "text": "Full refunds within 30 days. No refunds after 30 days."}],
)

print(out.text)                 # grounded answer with inline [refunds.md] markers
for c in out.citations:
    print(f'✓ "{c.quote}" — {c.source} {c.range}')   # verbatim, traced to your source
for u in out.unsupported:
    print(f'⚠ dropped ({u.reason}): "{u.claim}"')     # hallucinations caught, not shipped

Why it's different

The grounding check is deterministic code: every cited quote must appear character-for-character in a source you supplied, or the claim is dropped. No "LLM judging an LLM".

API

MaxModel(api_key, *, base_url=..., timeout=60.0)

• base_url defaults to https://api.maxmodel.com; override for self-host/testing.

mx.verified.create(...) -> VerifiedResult

arg	type	default
model	str	—
messages	list[dict]	—
sources	list[dict] ({"id","text"})	—
mode	"strict" | "lenient"	"strict"
allow_ungrounded	bool	False
temperature	float | None	None
max_tokens	int | None	None

VerifiedResult (dataclass): id, model, text, citations, unsupported, grounded, usage.

mx.chat.completions.create(**params) -> dict

OpenAI-compatible passthrough.

Errors

Typed and catchable: MaxModelError (base) with AuthError (401), QuotaError (402), RateLimitError (429), NoSourcesError (400), ExtractionError (502), GatewayError (5xx). Each carries .type and .status.

from maxmodel import RateLimitError, NoSourcesError, MaxModelError

try:
    out = mx.verified.create(...)
except NoSourcesError:
    ...   # you forgot sources, or set allow_ungrounded=True
except RateLimitError:
    ...   # back off and retry
except MaxModelError as e:
    print(e.type, e.status)

Zero runtime dependencies (stdlib only). Python 3.8+. Docs: https://docs.maxmodel.com