originchain 0.4.0

Official Python client for OriginChain — managed database for AI applications.

originchain (Python)

Official Python client for OriginChain.

Other languages: TypeScript / JavaScript → @originchain/sdk · Go → github.com/originchain-ai/originchain-go · raw HTTP → originchain.ai/docs.

Install

pip install originchain

HTTP/2 is enabled by default — multiplexed cross-region calls save ~300 ms each vs HTTP/1.1.

Quick start

from originchain import OriginChain

# Reads OC_BASE_URL, OC_BEARER, OC_TENANT from env.
db = OriginChain.from_env()

# Register a schema.
db.schemas.register(open("orders.toml").read())

# Insert a row.
db.rows.put(
    "trading.orders",
    {"order_id": "o1", "symbol": "AAPL", "qty": 100},
    idempotency_key="user-action-42",
)

# Ask in natural language.
result = db.ask("orders for AAPL above 50 shares last week")
for row in result["rows"]:
    print(row)

Async

import asyncio
from originchain import AsyncOriginChain

async def main() -> None:
    async with AsyncOriginChain.from_env() as db:
        await db.rows.put("trading.orders", {"order_id": "o2", "symbol": "MSFT", "qty": 50})
        print(await db.ask("show me the largest MSFT order this hour"))

asyncio.run(main())

SQL

resp = db.sql("SELECT order_id, qty FROM trading.orders WHERE symbol = 'AAPL'")
for row in resp.rows:
    print(row["order_id"], row["qty"])

db.sql_one("SELECT ... LIMIT 1") returns the first row dict (or None).

Vector

db.vector_put("embeddings", id="doc-1", embedding=[0.1, 0.2, 0.3], dim=3)
hits = db.vector_topk("embeddings", query=[0.1, 0.2, 0.3], k=5, dim=3)
for h in hits:
    print(h.id, h.score)

Full-text

db.fts_index("articles", "body", doc_id="d1", text="the quick brown fox")
hits = db.fts_search("articles", "body", q="quick fox", mode="bm25", k=5)
print([(h.doc_id, h.score) for h in hits])

Graph

nbrs = db.graph.neighbors("users", rel="follows", pk="u1")
for n in nbrs:
    print(n.pk)
result = db.graph.dijkstra("users", rel="follows", src="u1", dst="u9",
                           weights={"u1|u2": 1.0, "u2|u9": 0.5})
print(result.cost)

Auth

Bearer tokens are minted in the OriginChain console and scoped to a single instance. Treat them like database passwords — env vars or secrets manager, never committed.

Errors

The client maps HTTP errors to a typed hierarchy:

from originchain import (
    OCAuthError,
    OCPaymentRequiredError,
    OCRateLimitedError,
    OCServerError,
)

try:
    db.rows.put("trading.orders", row)
except OCRateLimitedError as e:
    time.sleep(e.retry_after)
    db.rows.put("trading.orders", row)
except OCPaymentRequiredError as e:
    print(f"enable {e.name} at {e.purchase_url}")
except OCAuthError:
    print("rotate your bearer in the console")

When the leader returns 200 but synchronous replication didn't ack within the configured timeout, the client emits an OCReplicationDegraded warning. The write IS durable on the leader; the warning surfaces a follower-lag signal callers can monitor or page on.

Versioning

This client follows semver. The 0.x line is for design partners; the API surface may change before 1.0.