xberg-io-sdk
Official Python client for the Xberg Enterprise and Xberg Pro document-processing APIs — one client, two targets.
- httpx-based, sync (
XbergClient) and async (AsyncXbergClient) surfaces - One client speaks to both products: shared extraction/jobs/presets/auto-tune/RAG surface, plus capability-gated tier-specific methods (Pro auth and control plane; Enterprise uploads/usage/document diff/enrichment)
- Generated from two OpenAPI 3.1 specs (Enterprise + Pro), then wrapped in ergonomic helpers
- Configurable retry engine (honors
Retry-After, exponential backoff) - Type-annotated end to end,
py.typedshipped
Install
pip install xberg-io-sdk
# or
uv add xberg-io-sdk
Requires Python 3.10+.
Quickstart
Sync — single file with explicit API key
from pathlib import Path
from xberg_io_sdk import XbergClient
# Enterprise and Pro are self-hosted; pass your deployment URL.
with XbergClient(api_key="kz_...", base_url="https://xberg.example.com") as client:
job = client.extract_and_wait(file=Path("invoice.pdf"))
if job.result is not None:
print(job.result.content)
Connecting to Xberg Pro
Both products have no default URL — pass base_url (and, to skip the
/healthz tier probe, target="pro"):
from xberg_io_sdk import XbergClient
with XbergClient(api_key="kz_...", base_url="https://pro.internal", target="pro") as client:
config = client.auth_config() # Pro-only
presets = client.list_saved_presets() # both tiers; the path spelling follows the tier
Saved presets are served by both products at /v1/saved_presets, so the same
call works against either target.
Async — batch extract with parallel waits
import asyncio
from pathlib import Path
from xberg_io_sdk import AsyncXbergClient
async def main() -> None:
async with AsyncXbergClient(api_key="kz_...", base_url="https://xberg.example.com") as client:
jobs = await client.extract_batch([Path("a.pdf"), Path("b.pdf"), Path("c.pdf")])
results = await client.wait_for_jobs([str(j.id) for j in jobs])
for job in results:
print(job.filename, job.status)
asyncio.run(main())
Public API
One XbergClient (sync) / AsyncXbergClient (async) serves both products.
Constructor: (api_key=None, base_url=None, target=None, timeout=30, headers=None, retries=0, retry_on=..., retry_backoff="exponential").
base_url must name the deployment; omitting it raises XbergError.
Shared methods (both tiers):
| Method | Purpose |
|---|---|
extract(file=..., options=..., webhook=...) |
Submit one document, get back a Job. |
extract_batch(files, options=...) |
Submit many documents in ONE multipart request. |
get_job(job_id) |
Fetch a tagged extraction or crawl record. |
wait_for_job(job_id, timeout=300, ...) |
Poll until terminal (raises on failed/cancelled). |
wait_for_jobs(job_ids, ...) |
Wait for multiple jobs. |
extract_and_wait(file=..., ...) |
Submit + wait in one call. |
get_job_result(job_id) |
Fetch a job's stored JobResult envelope. |
list_jobs(...), audit(...) |
List jobs / read the audit log. |
cancel_job(job_id) |
Cancel a job (idempotent — also 204s if already terminal). |
list_rag_collections(), rag_retrieve(name, body), get_rag_job(job_id), … |
RAG collections/documents/retrieval. |
delete_rag_documents(name, body) |
Delete documents from a collection by ID list or metadata filter. |
presets(), get_preset(id), get_preset_sample(id, name) |
Curated managed presets. |
usage(...) |
Per-project usage totals for a date window. |
presign_upload(body), confirm_upload(body) |
Stage a large document in object storage, then submit it. |
get_job_page(job_id, page_number) |
A rendered page image, as raw image/png bytes. |
submit_enrich(body), get_enrich_status(job_id) |
Keyword, entity and label enrichment over extracted text. |
stream_crawl_events(crawl_job_id) |
A generator of Server-Sent Events for a running crawl. |
stop_auto_tune_job(id) |
Stop a running auto-tune job. |
list_managed_embedding_presets() |
The deployment's available embedding presets. |
list_saved_presets(...), create_saved_preset(body), get_saved_preset(id), update_saved_preset(id, body), delete_saved_preset(id) |
Project-owned saved presets. |
list_auto_tune_jobs(...), submit_auto_tune(request, files), get_auto_tune_status(id), get_auto_tune_result(id), delete_auto_tune_job(id) |
Auto-tune runs (submit_auto_tune is multipart). |
get_auto_tune_capabilities(), promote_auto_tune_profile(id, body) |
Discover tunable knobs; promote a run to a named profile. |
list_tuning_profiles(...), get_tuning_profile(id), delete_tuning_profile(id) |
Promoted tuning profiles. |
Tier-specific methods are capability-gated — calling one against the wrong tier raises a clear error instead of a raw 404:
- Pro only:
login,auth_config,get_rag_config/set_rag_config,get_license_info,put_local_upload - Pro only (control plane):
list_projects/create_project,list_api_keys/create_api_key/revoke_api_key,list_integrations/create_integration/get_integration/delete_integration,connect_integration/disconnect_integration,list_integration_documents/fetch_integration_document - Enterprise only:
versions,get_document,diff/get_diff_job,list_extraction_events,list_subscription_deliveries/get_subscription_delivery
Deliberately not exposed
Three documented routes have no client method, on purpose:
GET /readyz— an infrastructure readiness probe for orchestrators, not caller-facing API surface.GET /healthzis exposed indirectly: it is the tier probe behindtarget=None.GET /v1/oauth/callback(Pro) — a browser redirect leg of the OIDC flow. The provider calls it, not an API client.DELETE /auth/account(Pro) — a session-cookie account-deletion flow, not API-key surface.POST /auth/loginis exposed because it mints the session JWT this client can then send as a bearer token.
Errors are raised as one of:
XbergError (base), AuthError (401 and 403), ValidationError,
NotFoundError, RateLimitError (carries retry_after), ServerError,
TimeoutError.
Documentation
- SDK docs: https://docs.sdks.xberg.io
- Product overview: https://xberg.io
License
MIT — © Kreuzberg, Inc.
Metadata
Release files for xberg-io-sdk 0.8.0
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| xberg_io_sdk-0.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.6 MB
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